CN116933362A - Automatic generation method and device for indoor design scheme, computer equipment and medium - Google Patents
Automatic generation method and device for indoor design scheme, computer equipment and medium Download PDFInfo
- Publication number
- CN116933362A CN116933362A CN202310802581.XA CN202310802581A CN116933362A CN 116933362 A CN116933362 A CN 116933362A CN 202310802581 A CN202310802581 A CN 202310802581A CN 116933362 A CN116933362 A CN 116933362A
- Authority
- CN
- China
- Prior art keywords
- target
- indoor design
- user
- instruction
- request
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013461 design Methods 0.000 title claims abstract description 222
- 238000000034 method Methods 0.000 title claims abstract description 41
- 230000004048 modification Effects 0.000 claims description 30
- 238000012986 modification Methods 0.000 claims description 30
- 230000015654 memory Effects 0.000 claims description 21
- 238000004590 computer program Methods 0.000 claims description 7
- 238000000605 extraction Methods 0.000 claims description 7
- 230000004044 response Effects 0.000 claims description 7
- 238000013473 artificial intelligence Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 17
- 230000000694 effects Effects 0.000 description 8
- 238000004891 communication Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000008676 import Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000013527 convolutional neural network Methods 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 235000019800 disodium phosphate Nutrition 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000000306 recurrent effect Effects 0.000 description 1
- 235000020095 red wine Nutrition 0.000 description 1
- 230000006403 short-term memory Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/10—Constructive solid geometry [CSG] using solid primitives, e.g. cylinders, cubes
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Geometry (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Structural Engineering (AREA)
- Computational Mathematics (AREA)
- Civil Engineering (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Architecture (AREA)
- Computer Graphics (AREA)
- Software Systems (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The application discloses an automatic generation method, a device, computer equipment and a storage medium for indoor design schemes, and relates to the technical field of artificial intelligence.
Description
Technical Field
The present application relates to the field of artificial intelligence technologies, and in particular, to an indoor design scheme automatic generation method, an indoor design scheme automatic generation device, a computer device, and a storage medium.
Background
In the related technology, the implementation of the indoor design scheme is highly dependent on the user's input house types and templates in the related software system, and the house type layout and style matching and other contents obtained by combining with the training of the algorithm. From the product interaction level, after knowing the design rule of the indoor design scheme specified by the software system, the user executes one-time design parameter input on the target indoor design scheme according to the design rule of the indoor design scheme in the software system logged in by the computer, so that the related software system outputs the corresponding indoor design scheme according to the design parameter input by the user. For example, the user inputs house type templates, and the related software system outputs a final indoor design scheme. Meanwhile, the related software system only provides input options preset in advance, does not have the understanding capability of natural language of a user, so that the output of an indoor design scheme often has a certain gap from the intention scheme of the user, and the user can input a whole set of design parameters after learning the design rules of the related software system.
Therefore, the mode of intelligently generating the indoor design scheme of the related software system has higher learning threshold for the user requirement, and the indoor design scheme is inflexible to modify, so that the indoor design scheme has lower design efficiency.
Disclosure of Invention
The embodiment of the application aims to provide an automatic generation method of an indoor design scheme, which aims to solve the problem of low design efficiency of the indoor design scheme in the related technology.
In order to solve the technical problems, an embodiment of the present application provides an automatic generation method for an indoor design scheme, including the following steps:
receiving a request instruction of a user, wherein the request instruction represents an instruction of the user for inputting request information in a preset dialog box, and the request information comprises an image and/or a design requirement request text uploaded by the user;
responding to the request instruction, and generating a plurality of candidate indoor designs corresponding to the request information;
and responding to the target instruction of the user, and displaying the target indoor design scheme, wherein the target instruction represents an instruction of the user for selecting the target indoor design scheme from a plurality of candidate indoor design schemes.
In order to solve the above technical problems, an embodiment of the present application provides an indoor design automatic generation device, including:
the receiving module is used for receiving a request instruction of a user, wherein the request instruction represents an instruction of the user for inputting request information in a preset dialog box, and the request information comprises an image and/or a design demand request text uploaded by the user;
the generation module is used for responding to the request instruction and generating a plurality of candidate indoor design schemes corresponding to the request information;
and the display module is used for responding to a target instruction of a user and displaying the target indoor design scheme, wherein the target instruction represents an instruction of the user for selecting the target indoor design scheme from a plurality of candidate indoor design schemes.
In order to solve the above technical problems, an embodiment of the present application further provides a computer device, including a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method for automatically generating an indoor design solution when executing the computer program.
In order to solve the above technical problem, an embodiment of the present application further provides a computer readable storage medium, where a computer program is stored, where the computer program when executed by a processor implements the steps of the method for automatically generating an indoor design solution described above.
Compared with the related art, the embodiment of the application has the following main beneficial effects:
the method comprises the steps of receiving a request instruction of a user, wherein the request instruction represents an instruction of the user for inputting request information in a preset dialog box, the request information comprises an image uploaded by the user and/or a design demand request text, responding to the request instruction, generating a plurality of candidate indoor design schemes corresponding to the request information, responding to a target instruction of the user, and displaying the target indoor design scheme, wherein the target instruction represents an instruction of the user for selecting the target indoor design scheme from the plurality of candidate indoor design schemes, namely, the user inputs the request information of the indoor design scheme in the dialog box only through a dialogue mode, so that the indoor design scheme can be automatically generated, complex operations required to be executed according to design rules and the like in the related art are reduced, the learning cost of the user on a software system is obviously reduced, and the indoor design scheme design efficiency is improved.
Drawings
In order to more clearly illustrate the solution of the present application, a brief description will be given below of the drawings required for the description of the embodiments of the present application, it being apparent that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained from these drawings without the exercise of inventive effort for a person of ordinary skill in the art.
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
fig. 2 is a flow chart of an automatic generation method of an indoor design scheme according to an embodiment of the present application;
3-a, 3-b, 3-c, 3-d, 3-e, 3-f, 3-g and 3-h are schematic views of a scene generated by an indoor design scheme provided by an embodiment of the present application;
fig. 4 is a schematic view of a scene of image saving of an indoor design scheme according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an embodiment of an automatic indoor design scheme generating device according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an embodiment of a computer device according to an embodiment of the present application.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In order to solve the above problems and to enable those skilled in the art to better understand the present application, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.
As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like.
The terminal devices 101, 102, 103 may be a variety of electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.
The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the terminal devices 101, 102, 103.
Illustratively, a user first logs in a web page or application software provided with an AIGC (AI Generated Content, meaning content generation using artificial intelligence techniques) design tool through the terminal device 101. In a web page or a software application, after a user imports a basic house type image in a terminal device 101, the user gradually inputs related house type images in a dialogue form in the terminal device 101, the house type reforms, furniture arrangement, local space modification and the like refer to a picture, an intention diagram, a photo and/or design requirement request text information, and sends information such as a design request to a server 105 through a network 104, the server 105 generates corresponding design schemes such as furniture models, space layout and the like according to the information such as each design request initiated in the dialogue, the server 105 recommends the generated formula design schemes to the terminal device 101 through the network 104, the user determines a target design scheme from a plurality of design schemes through clicking or selecting modes, and the final server 105 generates a final design effect diagram based on the target design scheme. Therefore, the user's demand on the house type design is gradually completed through a dialogue mode, so that the software learning cost of the user can be obviously reduced, the scheme design modeling time is shortened, and the user is helped to quickly generate a design scheme with a low threshold.
It should be noted that, the method for automatically generating the indoor design solution provided by the embodiment of the present application is generally executed by a server/terminal device, and accordingly, the apparatus for automatically generating the indoor design solution is generally disposed in the server/terminal device.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
In the embodiment of the present application, as shown in fig. 2, fig. 2 is a schematic flow chart of an automatic indoor design scheme generating method provided in the embodiment of the present application, and a specific implementation of the automatic indoor design scheme generating method includes:
s201: and receiving a request instruction of a user, wherein the request instruction represents an instruction of the user for inputting request information in a preset dialog box, and the request information comprises an image and/or design requirement request text uploaded by the user.
Specifically, the user uploads the layout of the user type on the dialog interface where the preset dialog box is located according to a preset importing mode. The preset dialog boxes are dialog interfaces with AIGC (automatic guided by control) functions, and each dialog box carries a unique address, so that the result of the identification request information can be accurately pushed according to the address. The importing method may be that the layout of the user type is directly imported by adopting a drag method in a preset dialog box, or a file address is input in a designated importing area, so as to import the layout of the corresponding user type according to the file address. Upon receiving the imported layout of the house type, the layout of the house type is presented in the dialogue interface. In some embodiments, the above method further comprises:
and when the user jumps to the preset dialog box, displaying prompt information, wherein the prompt information is used for guiding the user to design operation information in the preset dialog box.
Specifically, indication information is sent to the dialogue interface, so that a user inputs request information in a preset dialogue box according to the indication information, and the user can upload image and/or design requirement request text and other operation information for modifying the current layout diagram in the preset dialogue box. The image uploaded by the user may be a design reference image, an intent image, a photo, such as a furniture model image or a space design image, and the design requirement request text may be a natural language, and the user may initiate the design requirement request text in the dialog box by inputting a text or a voice scheme. The prompt message may be, for example, a description prompting the user to enter a section of the solution design.
Exemplary, refer to fig. 3-a for a schematic view of a scenario generated by an indoor design scheme according to an embodiment of the present application. After the layout of the house is imported, the layout is displayed in the display area of the dialogue interface, and the image of the sofa model and the request information of the scheme design are imported in the dialogue box.
S202: in response to the request instruction, a plurality of candidate indoor designs corresponding to the request information are generated.
The candidate indoor design schemes are recommended design schemes related to the request information, and may be furniture model schemes, global house type design schemes, local house type design schemes, and the like, which are not limited herein. A furniture model solution refers to a furniture model of a room-type space specified in a layout, for example, a living room sofa. Global household designs refer to designs for individual household spaces in a layout, e.g., overall style designs that cover living rooms, kitchens, and washrooms. The partial house type design scheme refers to a design scheme for a specified house type space in a layout diagram, for example, a style design scheme of a room.
Specifically, the request information can be an image uploaded by a user and/or a design demand request text, so that the image characteristics of the house type image can be extracted by adopting a pre-trained network model, and a furniture model scheme, a global house type design scheme, a local house type design scheme and the like which are matched with the image characteristics are searched in a preset model library. The network model may include, but is not limited to, a Recurrent Neural Network (RNN), a long short-term memory network (LSTM), a Convolutional Neural Network (CNN), and the like. The image features may be geometric features of the furniture model, color features of the furniture model, position features of the furniture model in the layout, etc. For example, the geometry of the sofa, the color of the sofa, and the spatial location of the sofa (e.g., living room or room, etc.). Aiming at the design demand request text, the design demand request text can be converted into vector representation through a text recognition model comprising an embedding layer (embedding layer), a classification layer (classification layer) is used for classifying or regressing the text, and the extracted key text is searched for the category corresponding to the design demand request text in a preset model library to obtain a matched furniture model scheme, a global household design scheme, a local household design scheme and the like.
It should be noted that, in the embodiment of the present application, a user may only import any one of a family image and a design requirement request text into a dialog box, so that the corresponding family design style is matched according to the family image or the design text, and then relevant candidate indoor design schemes are pushed in a dialog box interface. Or simultaneously combining the house type image and the design requirement request text to match the corresponding house type design style, and particularly, the input can be performed in a dialog box according to the actual design requirement. For example, as shown in fig. 3-b, a number of candidates relating to the requested information are presented in the dialog interface for the uploaded intent sofa image and description of the design of the project.
In some embodiments, generating a plurality of candidate indoor designs corresponding to the request information in response to the request instruction includes:
carrying out style extraction on the image uploaded by the user to obtain a target style type;
and acquiring a plurality of candidate indoor design schemes corresponding to the target style from a preset model library.
Specifically, for an image uploaded by a user, for example, an image comprising a furniture model, the corresponding furniture model in a model library can be automatically identified and found through the network identification model, and a target style type is matched based on the identified furniture model, and a plurality of candidate indoor design schemes and corresponding preview pictures can be further matched in the model library based on the target style type, so that the conventional indoor design scheme that the user needs to manually find the corresponding indoor design scheme of the target style type in the model library is reduced, and the similar style decoration scheme of the intelligent matched furniture model greatly improves the design efficiency of the user.
In some embodiments, generating a plurality of candidate indoor designs corresponding to the request information in response to the request instruction includes:
carrying out space layout extraction on the design demand request text to obtain a target space layout type;
and acquiring a plurality of candidate indoor design schemes corresponding to the target space layout type from a preset model library.
Specifically, the target space layout type may be at least one of a room, a living room, a kitchen, a balcony, a vestibule, a bathroom, and the like. A text is requested based on the design requirements to extract a vector associated with the spatial layout to determine a target spatial layout type based on the extracted vector. Further, candidate indoor designs related to the target space layout type are searched in the model library. Generally, since the spatial layout is limited to a functional space, that is, the searched candidate indoor designs are more, in order to realize effective and accurate recommendation of the candidate indoor designs, the search range can be narrowed based on the use frequency of the candidate indoor designs or the schemes such as prompting the user to further input design requirement information of the target spatial layout type, and efficient recommendation is realized.
In some embodiments, the above method further comprises:
based on the target style type and the target space layout type, a plurality of candidate indoor design schemes corresponding to the target space layout type are obtained from a preset model library.
Specifically, the target style type and the target space layout type are combined, so that soft-packaged, hard-packaged and customized furniture matched with the target style type can be automatically matched while the space layout design is met, and a plurality of candidate indoor design schemes are automatically generated.
S203: and responding to the target instruction of the user, and displaying the target indoor design scheme, wherein the target instruction represents an instruction of the user for selecting the target indoor design scheme from a plurality of candidate indoor design schemes.
In the embodiment of the application, the user can select the target indoor design scheme in the dialogue interface, and further save the target indoor design scheme through the requirement of input software operation, such as save operation. When a storage request instruction of a target indoor design scheme initiated by a user is received, an effect diagram of the target indoor design scheme is automatically generated and stored. By sending the effect diagram of the target indoor design scheme to the dialogue interface, a user can view the effect diagram. As shown in fig. 3-c, an effect diagram of the target indoor design scheme selected by the user is displayed not only in the dialogue interface, but also in the display area, and information generated by the style scheme is prompted in the dialogue interface.
The method comprises the steps of receiving a request instruction of a user, wherein the request instruction represents an instruction of the user for inputting request information in a preset dialog box, the request information comprises an image uploaded by the user and/or a design demand request text, responding to the request instruction, generating a plurality of candidate indoor design schemes corresponding to the request information, responding to a target instruction of the user, and displaying the target indoor design scheme, wherein the target instruction represents an instruction of the user for selecting the target indoor design scheme from the plurality of candidate indoor design schemes, namely, the user inputs the request information of the indoor design scheme in the dialog box only through a dialogue mode, so that the indoor design scheme can be automatically generated, complex operations required to be executed according to design rules and the like in the related art are reduced, the learning cost of the user on a software system is obviously reduced, and the indoor design scheme design efficiency is improved.
At present, various home decoration design software of artificial intelligence exists in the market. The specific user use flow comprises the following steps: inputting a house type to be designed; drawing a floor plan or a floor plan generated by using the AI intelligent layout; selecting templates needing AI matching; the AI automatically generates a matched scheme.
It can be seen that the working steps of the software with intelligent design function can be summarized as follows: generating algorithm layout according to the input house type and a certain design rule or other scheme layout mode of machine learning; and (5) extracting hard-packaged, soft-packaged and customized furniture in the template-to-template scheme selected by the user, and respectively matching the hard-packaged, soft-packaged and customized furniture into the target house type according to the room type and layout. In the process, all design modes related to the indoor design scheme are required to be set, namely, one-time setting ensures that the user has weak intervention capability on the output indoor design scheme, and part of content cannot be modified intelligently.
In some embodiments, to solve the above-mentioned problem, the embodiment of the present application further includes the following steps:
receiving a modification instruction of a user, wherein the modification instruction represents an instruction for inputting modification information of a target indoor design scheme in a preset dialog box;
determining a target furniture model corresponding to a target position in the target indoor design scheme according to the modification information;
updating a target indoor design scheme based on a target furniture model corresponding to the target position;
and generating a new image according to the updated target indoor design scheme.
Specifically, in the effect diagram of the target indoor design solution shown in the step S203, the user may initiate a modification instruction based on the effect diagram, where the modification information may include house type modification, local space, area arrangement, specific model data, and the like, and the modification information may be either text information or image information. And determining the furniture model to be modified through the text recognition model, recognizing the target furniture model for the image information in the modification information based on the network model, and replacing the target furniture model into the furniture model to be modified so as to update the target indoor design scheme.
The method comprises the steps of further identifying input design modification information through modification information such as natural language or intention pictures input in a preset dialog box from a user, performing modification functions such as house type reconstruction, local space arrangement and custom furniture, and displaying a new house type image in a preview mode in a dialog interface after each modification is performed to generate the new house type image. And automatically applying the updated target indoor design scheme after the user selects or confirms to apply the new house type image. As shown in fig. 3-d, when the user clicks the control that is immediately applied to the new indoor design, the dialog interface displays a prompt message that the "solution has been modified", i.e., the new target indoor design is applied to the layout diagram of the house type.
Therefore, by modifying the original target indoor design scheme and rearranging furniture and hard clothes, a certain space or functional area of the target house type space is independently modified and arranged, so that local modification of house type design is realized, and the house type design efficiency is improved.
In some embodiments, determining a target furniture model corresponding to the target position in the target indoor design scheme according to the modification information includes:
extracting characteristic values in the modification information;
determining a target position based on the feature value; and
and matching the target furniture model corresponding to the characteristic value in the target position in a preset model library.
The characteristic information can be position information, furniture type information, geometric information or functional area information of the furniture model. For example, when the feature information is information of a newly added functional area, for example, the newly added functional area information is a child area, the newly added functional area information can be used as a target position of the child area at a preset position of the living room, and a corresponding target furniture model, such as a rocking chair, a slide, and the like, can be matched based on the child area. 3-e and 3-f, the child area in the modification information and the uploaded child area example graph are identified, and then target furniture types and the like of child area styles matched with the child area are generated. 3-g and 3-h, the table in the restaurant can be modified, so that the red wine rack is added to the modified table.
As shown in fig. 4, when the user inputs information for storing the target indoor design scheme in the preset dialog box, the effect diagram of the target indoor design scheme and the commodity list corresponding to all furniture models designed by the target indoor design scheme are automatically stored, so that efficient design of the target indoor design scheme is realized.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored in a computer-readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. The storage medium may be a nonvolatile storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a random access Memory (Random Access Memory, RAM).
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
With further reference to fig. 5, as an implementation of the method shown in fig. 2, the present application provides an embodiment of an apparatus for automatically generating an indoor design, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied to various electronic devices.
As shown in fig. 5, for a schematic structural diagram of an embodiment of the automatic indoor design solution generating device provided by the present application, the automatic indoor design solution generating device further includes: a receiving module 51, a generating module 52 and a presentation module 53. Wherein, the liquid crystal display device comprises a liquid crystal display device,
a receiving module 51, configured to receive a request instruction of a user, where the request instruction represents an instruction of the user to input request information in a preset dialog box, and the request information includes an image and/or a design requirement request text uploaded by the user;
a generating module 52, configured to generate a plurality of candidate indoor designs corresponding to the request information in response to the request instruction;
and a display module 53, configured to display the target indoor design solution in response to a target instruction of the user, where the target instruction represents an instruction of the user to select the target indoor design solution from the multiple candidate indoor design solutions.
In some embodiments, the indoor design solution automatic generation device further includes:
the instruction receiving module is used for receiving a modification instruction of a user, wherein the modification instruction represents an instruction for inputting modification information of the target indoor design scheme in a preset dialog box;
the furniture determining module is used for determining a target furniture model corresponding to the target position in the target indoor design scheme according to the modification information;
the scheme updating module is used for updating the indoor design scheme based on the target furniture model corresponding to the target position;
and the image generation module is used for generating a new image from the updated target indoor design scheme.
In some embodiments, the furniture determination module includes:
the extraction submodule is used for extracting the characteristic value in the modification information;
a determining sub-module for determining a target position based on the feature value; and
the matching submodule is used for matching the target furniture model corresponding to the characteristic value in the target position in a preset model library.
In some implementations, the generation module 52 includes:
the style extraction sub-module is used for carrying out style extraction on the image uploaded by the user to obtain a target style type;
the first acquisition sub-module is used for acquiring a plurality of candidate indoor design schemes corresponding to the target style in a preset model library.
In some implementations, the generation module 52 includes:
the space determination submodule is used for extracting the space layout of the design demand request text to obtain a target space layout type;
and the second acquisition sub-module is used for acquiring a plurality of candidate indoor design schemes corresponding to the target space layout type from a preset model library.
In some embodiments, the indoor design solution automatic generation device further includes:
and the third acquisition sub-module is used for acquiring a plurality of candidate indoor design schemes corresponding to the target space layout type from a preset model library based on the target style type and the target space layout type.
In some embodiments, the indoor design solution automatic generation device further includes:
the prompt module is used for displaying prompt information when the user jumps to a preset dialog box, wherein the prompt information is used for guiding the user to design operation information in the preset dialog box.
The specific manner in which the respective modules perform the operations in the indoor design automatic generation apparatus in the above-described embodiment has been described in detail in the embodiment regarding the method, and will not be described in detail here.
In order to solve the technical problems, the embodiment of the application also provides computer equipment. Referring specifically to fig. 6, fig. 6 is a basic structural block diagram of a computer device according to the present embodiment.
The computer device 6 comprises a memory 61, a processor 62, a network interface 63 communicatively connected to each other via a system bus. It is noted that only computer device 6 having components 61-63 is shown in the figures, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may be implemented instead. It will be appreciated by those skilled in the art that the computer device herein is a device capable of automatically performing numerical calculations and/or information processing in accordance with predetermined or stored instructions, the hardware of which includes, but is not limited to, microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASICs), programmable gate arrays (fields-Programmable Gate Array, FPGAs), digital processors (Digital Signal Processor, DSPs), embedded devices, etc.
The computer equipment can be a desktop computer, a notebook computer, a palm computer, a cloud server and other computing equipment. The computer equipment can perform man-machine interaction with a user through a keyboard, a mouse, a remote controller, a touch pad or voice control equipment and the like.
The memory 61 includes at least one type of readable storage medium including flash memory, hard disk, multimedia card, card type memory (e.g., SD or D indoor design auto-generation memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the storage 61 may be an internal storage unit of the computer device 6, such as a hard disk or a memory of the computer device 6. In other embodiments, the memory 61 may also be an external storage device of the computer device 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the computer device 6. Of course, the memory 61 may also comprise both an internal memory unit of the computer device 6 and an external memory device. In this embodiment, the memory 61 is generally used for storing an operating system and various application software installed on the computer device 6, such as a program code of an indoor design automatic generation method. Further, the memory 61 may be used to temporarily store various types of data that have been output or are to be output.
The processor 62 may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 62 is typically used to control the overall operation of the computer device 6. In this embodiment, the processor 62 is configured to execute a program code stored in the memory 61 or process data, for example, a program code for executing the indoor design automatic generation method.
The network interface 63 may comprise a wireless network interface or a wired network interface, which network interface 63 is typically used for establishing a communication connection between the computer device 6 and other electronic devices.
The present application also provides another embodiment, namely, a computer-readable storage medium storing an indoor-design-scheme automatic generation program executable by at least one processor to cause the at least one processor to perform the steps of the indoor-design-scheme automatic generation method as described above.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
It is apparent that the above-described embodiments are only some embodiments of the present application, but not all embodiments, and the preferred embodiments of the present application are shown in the drawings, which do not limit the scope of the patent claims. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a thorough and complete understanding of the present disclosure. Although the application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing description, or equivalents may be substituted for elements thereof. All equivalent structures made by the content of the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the scope of the application.
Claims (10)
1. An automatic generation method for indoor design schemes is characterized by comprising the following steps:
receiving a request instruction of a user, wherein the request instruction represents an instruction of the user for inputting request information in a preset dialog box, and the request information comprises an image and/or a design requirement request text uploaded by the user;
responding to the request instruction, and generating a plurality of candidate indoor design schemes corresponding to the request information;
and responding to a target instruction of a user, and displaying a target indoor design scheme, wherein the target instruction represents an instruction of the user for selecting the target indoor design scheme from a plurality of candidate indoor design schemes.
2. The indoor design automation generation method of claim 1, further comprising:
receiving a modification instruction of a user, wherein the modification instruction represents an instruction for inputting modification information of the target indoor design scheme in the preset dialog box;
determining a target furniture model corresponding to the target position in the target indoor design scheme according to the modification information;
updating the design scheme in the target room based on the target furniture model corresponding to the target position;
and generating a new image according to the updated target indoor design scheme.
3. The method according to claim 2, wherein determining a target furniture model corresponding to a target position in the target indoor design according to the modification information comprises:
extracting a characteristic value in the modification information;
determining the target position based on the characteristic value; and
and matching the target furniture model corresponding to the characteristic value in the target position in a preset model library.
4. The method of claim 1, wherein generating a plurality of candidate indoor designs corresponding to the request information in response to the request instruction comprises:
performing style extraction on the image uploaded by the user to obtain a target style type;
and acquiring a plurality of candidate indoor design schemes corresponding to the target style from a preset model library.
5. The method of claim 1, wherein generating a plurality of candidate indoor designs corresponding to the request information in response to the request instruction comprises:
carrying out space layout extraction on the design demand request text to obtain a target space layout type;
and acquiring a plurality of candidate indoor design schemes corresponding to the target space layout type from a preset model library.
6. The indoor design automation generation method of claim 1, further comprising:
and acquiring a plurality of candidate indoor design schemes corresponding to the target spatial layout type from a preset model library based on the target style type and the target spatial layout type.
7. The indoor design automatic generation method according to any one of claims 1-6, further comprising:
and when the user jumps to the preset dialog box, displaying prompt information, wherein the prompt information is used for guiding the user to design operation information in the preset dialog box.
8. An automatic indoor design scheme generating device, characterized in that the automatic indoor design scheme generating device comprises:
the receiving module is used for receiving a request instruction of a user, wherein the request instruction represents an instruction of the user for inputting request information in a preset dialog box, and the request information comprises an image and/or a design requirement request text uploaded by the user;
the generation module is used for responding to the request instruction and generating a plurality of candidate indoor designs corresponding to the request information;
and the display module is used for responding to a target instruction of a user, and displaying a target indoor design scheme, wherein the target instruction represents an instruction of the user for selecting the target indoor design scheme from a plurality of candidate indoor design schemes.
9. A computer device comprising a memory and a processor, the memory having stored therein a computer program, which when executed implements the steps of the indoor design solution automatic generation method of any one of claims 1 to 7.
10. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, which when executed by a processor, implements the steps of the indoor design solution automatic generation method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310802581.XA CN116933362A (en) | 2023-06-30 | 2023-06-30 | Automatic generation method and device for indoor design scheme, computer equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310802581.XA CN116933362A (en) | 2023-06-30 | 2023-06-30 | Automatic generation method and device for indoor design scheme, computer equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116933362A true CN116933362A (en) | 2023-10-24 |
Family
ID=88383506
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310802581.XA Pending CN116933362A (en) | 2023-06-30 | 2023-06-30 | Automatic generation method and device for indoor design scheme, computer equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116933362A (en) |
-
2023
- 2023-06-30 CN CN202310802581.XA patent/CN116933362A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110363853B (en) | Furniture placement scheme generation method, device and equipment and storage medium | |
| CN112558824A (en) | Page display method and device and computer storage medium | |
| CN103534697B (en) | For providing the method and system of statistics dialog manager training | |
| JP2018536952A (en) | Method and apparatus for controlling a smart device and computer storage medium | |
| CN111240669B (en) | Interface generation method and device, electronic equipment and computer storage medium | |
| CN109033220B (en) | Automatic selection method, system, equipment and storage medium of labeled data | |
| CN112395390B (en) | Training corpus generation method of intention recognition model and related equipment thereof | |
| US10762902B2 (en) | Method and apparatus for synthesizing adaptive data visualizations | |
| CN115757725A (en) | Question and answer processing method and device, computer equipment and storage medium | |
| KR102184162B1 (en) | System and method for producing reactive webtoons | |
| EP3009900A1 (en) | Dynamic recommendation of elements suitable for use in an engineering configuration | |
| CN110515929B (en) | Book display method, computing device and storage medium | |
| CN116661936A (en) | Page data processing method and device, computer equipment and storage medium | |
| CN116383787A (en) | Page creation method, page creation device, computer equipment and storage medium | |
| CN116933362A (en) | Automatic generation method and device for indoor design scheme, computer equipment and medium | |
| CN114092608B (en) | Expression processing method and device, computer readable storage medium and electronic equipment | |
| CN115860877A (en) | Product marketing method, device, equipment and medium | |
| CN112613270B (en) | Method, system, equipment and storage medium for recommending patterns of target text | |
| CN109740056A (en) | It is a kind of for provide a user customization financial information method and apparatus | |
| CN113806596B (en) | Operation data management method and related device | |
| CN114675913B (en) | Page layout information processing method and device, electronic equipment and medium | |
| CN113704593B (en) | Operation data processing method and related device | |
| JP2019159666A (en) | Real estate information providing system | |
| CN117608738A (en) | Browser interaction method, device, equipment, readable storage medium and product | |
| CN117807278A (en) | Resource retrieval method, training method and device based on large language model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |