CN110458918A - Method and apparatus for output information - Google Patents
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- CN110458918A CN110458918A CN201910757082.7A CN201910757082A CN110458918A CN 110458918 A CN110458918 A CN 110458918A CN 201910757082 A CN201910757082 A CN 201910757082A CN 110458918 A CN110458918 A CN 110458918A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/04—Context-preserving transformations, e.g. by using an importance map
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/001—Texturing; Colouring; Generation of texture or colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/60—Editing figures and text; Combining figures or text
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/40—Document-oriented image-based pattern recognition
- G06V30/41—Analysis of document content
- G06V30/413—Classification of content, e.g. text, photographs or tables
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
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Abstract
Embodiment of the disclosure discloses the method and apparatus for output information.One specific embodiment of this method include: obtain include it is to be replaced fall text style picture and textual image including target text；Learn from style picture it is to be replaced fall text text style attribute；Foreground picture and mask picture are generated based on text style attribute and textual image；Wiped from style picture it is to be replaced fall text generate background picture；Foreground picture, mask picture and background picture are merged and generates Target Photo and exports.The embodiment is integrated with the advantage of target text style incremental learning, the method that e-learning is generated using confrontation, various dimensions learn the text geometrical characteristic and other attributive character of arbitrary shape, while solving other methods and generating the text structure feature that target text process can lose.This method applies to image generation, and the speed of service is very fast, can satisfy some real-time application scenarios.
Description
Technical field
Embodiment of the disclosure is related to field of computer technology, and in particular to the method and apparatus for output information.
Background technique
Text in image and video, or be scene text, it include semantic information abundant, in many multimedia application
It is highly useful in program.The related work of text style migration and background texture reparation is always many in text editing field
The heat subject of person's research, with the change in deep learning epoch, textual image editor is also from traditional method to based on confrontation
The transformation of neural network Style Transfer.
In text editing, keeping original text style is a very challenging job.People attempt given
Image or stylization text sample in migrate or replicate the style information of its text.Certain methods lay particular emphasis on word at present
Accord with the conversion of grade style.For example autoencoder network writing style migrates and fights network method based on generating.
Textual image editor is faced with two big challenges: the conversion of text style and the reservation of background texture at present.Especially
The attribute of text is various in scene image, such as language, font, color, direction, stroke size, aerial prospective information, this
It is become difficult so that accurately capturing all characteristics relevant to text and being migrated to target text, meanwhile, keep background
Consistency with original image is also a difficult point, when especially there is text in the complex scenes such as menu, street shop signboard, this
Outside, if target text is shorter than urtext, edited image should be deleted beyond character zone, and use texture appropriate
It is covered.So being difficult to directly apply to text style migration if being based only on existing method.Meanwhile currently based on figure
As generation method is mostly using the method for neural convolutional network image reconstruction, but so generating process is easily lost text
Attribute information, generate that resultative construction is irregular, font is inconsistent etc. with before.
Summary of the invention
Embodiment of the disclosure proposes the method and apparatus for output information.
In a first aspect, embodiment of the disclosure provides a kind of method for output information, comprising: acquisition includes wait replace
Change the style picture of text and the textual image including target text；Learn from style picture it is to be replaced fall text text
Style attribute；Foreground picture and mask picture are generated based on text style attribute and textual image；From style picture erasing to
It replaces text and generates background picture；Foreground picture, mask picture and background picture are merged and generates Target Photo and exports.
In some embodiments, learn from style picture it is to be replaced fall text text style attribute, comprising: pass through sky
Between converting network learn from style picture it is to be replaced fall the inclination of text, transitting probability information.
In some embodiments, learn from style picture it is to be replaced fall text text style attribute, comprising: pass through four
Side shape detection plus thin plate spline function transform method learn from style picture it is to be replaced fall text inclination, transitting probability letter
Breath.
In some embodiments, learn from style picture it is to be replaced fall text text style attribute, comprising: pass through pen
Streak filter learn from style picture it is to be replaced fall the stroke weight of text, font information.
In some embodiments, mask picture is generated based on text style attribute, comprising: based on it is to be replaced fall text incline
Tiltedly, transitting probability information and stroke weight, font information generate mask picture.
In some embodiments, learn from style picture it is to be replaced fall text text style attribute, comprising: from style
Learn in picture it is to be replaced fall text colouring information.
In some embodiments, the textual image including target text is obtained, comprising: obtain target text；Based on target
The textual image of text generation predetermined format.
In some embodiments, foreground picture, mask picture and background picture generate confrontation network by condition and generate.
Second aspect, embodiment of the disclosure provide a kind of device for output information, comprising: acquiring unit, quilt
Be configured to obtain include it is to be replaced fall text style picture and textual image including target text；Unit is configured
At learn from style picture it is to be replaced fall text text style attribute；First generation unit is configured to based on text wind
Lattice attribute and textual image generate foreground picture and mask picture；Second generation unit is configured to wipe from style picture
It is to be replaced fall text generate background picture；Integrated unit is configured to merge foreground picture, mask picture and background picture and give birth to
At Target Photo and export.
In some embodiments, unit is further configured to: by spatial alternation network from style picture middle school
Practise it is to be replaced fall the inclination of text, transitting probability information.
In some embodiments, unit is further configured to: being become by quadrangle detection plus thin plate spline function
Changing device learn from style picture it is to be replaced fall the inclination of text, transitting probability information.
In some embodiments, unit is further configured to: being learnt from style picture by stroke filter
It is to be replaced fall the stroke weight of text, font information.
In some embodiments, the first generation unit is further configured to: based on it is to be replaced fall text inclination, transmission
Information converting and stroke weight, font information generate mask picture.
In some embodiments, unit is further configured to: learn from style picture it is to be replaced fall text
Colouring information.
In some embodiments, acquiring unit is further configured to: obtaining target text；It is generated based on target text pre-
The textual image for the formula that fixes.
In some embodiments, foreground picture, mask picture and background picture generate confrontation network by condition and generate.
The third aspect, embodiment of the disclosure provide a kind of electronic equipment for output information, comprising: one or more
A processor；Storage device is stored thereon with one or more programs, when one or more programs are by one or more processors
It executes, so that one or more processors are realized such as method any in first aspect.
Fourth aspect, embodiment of the disclosure provide a kind of computer-readable medium, are stored thereon with computer program,
Wherein, it realizes when program is executed by processor such as method any in first aspect.
The method and apparatus for output information that embodiment of the disclosure provides generate net based on confrontation in deep learning
The design concept of network solves the migration problem of any text style while keeping background texture information abundant.This
Outside, the disclosure can migrate task in line of text rank and paragraph level reason text style.
Any scene text editor proposed using the disclosure, output target image are applied to, and original image is applied to, right
It, which is edited, changes target text into, especially the complex scene some with bending, waveform text item, can learn to accurate
Text attribute characteristic.Such as use actual OCR (Optical Character Recognition, optical character identification)
In detection identification translation usage scenario, most of text is that various irregular fractions distributions are presented, and the use of the invention can
Allow existing scene text editor in the case where multiple practical businesses include the scenes such as nature streetscape, advertisement, bill, video, menu
Text can translate the visual effect that editor has conspicuousness in text picture, be conducive to bring more for computer terminal and mobile terminal
Flow, bring better Product Experience etc. for users.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the disclosure is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 is that one embodiment of the disclosure can be applied to exemplary system architecture figure therein；
Fig. 2 is the flow chart according to one embodiment of the method for output information of the disclosure；
Fig. 3 is the schematic diagram according to an application scenarios of the method for output information of the disclosure；
Fig. 4 is the effect picture according to the method for output information of the disclosure；
Fig. 5 is the structural schematic diagram according to one embodiment of the device for output information of the disclosure；
Fig. 6 is adapted for the structural schematic diagram for the computer system for realizing the electronic equipment of embodiment of the disclosure.
Specific embodiment
The disclosure is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, part relevant to related invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the disclosure can phase
Mutually combination.The disclosure is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 is shown can be using the method for output information of the disclosure or the implementation of the device for output information
The exemplary system architecture 100 of example.
As shown in Figure 1, system architecture 100 may include terminal device 101,102,103, network 104 and server 105.
Network 104 between terminal device 101,102,103 and server 105 to provide the medium of communication link.Network 104 can be with
Including various connection types, such as wired, wireless communication link or fiber optic cables etc..
User can be used terminal device 101,102,103 and be interacted by network 104 with server 105, to receive or send out
Send message etc..Various telecommunication customer end applications, such as picture character editor's class can be installed on terminal device 101,102,103
It is objective using, image processing class application, web browser applications, shopping class application, searching class application, instant messaging tools, mailbox
Family end, social platform software etc..
Terminal device 101,102,103 can be hardware, be also possible to software.When terminal device 101,102,103 is hard
When part, can be with display screen and support the various electronic equipments of pictograph editor, including but not limited to smart phone,
Tablet computer, E-book reader, MP3 player (Moving Picture Experts Group Audio Layer III,
Dynamic image expert's compression standard audio level 3), MP4 (Moving Picture Experts Group Audio Layer
IV, dynamic image expert's compression standard audio level 4) player, pocket computer on knee and desktop computer etc..Work as end
When end equipment 101,102,103 is software, it may be mounted in above-mentioned cited electronic equipment.It may be implemented into multiple soft
Part or software module (such as providing Distributed Services), also may be implemented into single software or software module.It does not do herein
It is specific to limit.
Server 105 can be to provide the server of various services, such as to showing on terminal device 101,102,103
The backstage editing server of image offer copy editor's function.Backstage editing server can be to the number such as edit requests received
According to analyze etc. processing, and by processing result (such as the figure including target text generated according to the text style of original image
Piece) feed back to terminal device.
It should be noted that server can be hardware, it is also possible to software.When server is hardware, may be implemented
At the distributed server cluster that multiple servers form, individual server also may be implemented into.It, can when server is software
It, can also be with to be implemented as multiple softwares or software module (such as providing multiple softwares of Distributed Services or software module)
It is implemented as single software or software module.It is not specifically limited herein.
It should be noted that the method provided by embodiment of the disclosure for output information is generally by server 105
It executes, correspondingly, the device for output information is generally positioned in server 105.
It should be understood that the number of terminal device, network and server in Fig. 1 is only schematical.According to realization need
It wants, can have any number of terminal device, network and server.
With continued reference to Fig. 2, the process of one embodiment of the method for output information according to the disclosure is shown
200.This is used for the method for output information, comprising the following steps:
Step 201, obtain include it is to be replaced fall text style picture and textual image including target text.
In the present embodiment, can lead to for the executing subject of the method for output information (such as server shown in FIG. 1)
It crosses wired connection mode or radio connection and receives picture character using its terminal for carrying out picture character editor from user
Edit requests, wherein may include two kinds of pictures in picture character edit requests, one is that original needs are replaced text
Style picture.Secondly for the textual image including target text for replacement.User can directly provide including target text
Textual image.Textual image can be black matrix wrongly written or mispronounced character.
In some optional implementations of the present embodiment, user can only by terminal offer target text, then by
The target text that server will acquire is converted into the textual image of predetermined format.For example, can be according to the style picture identified
Target text is converted into the textual image of identical size by the size of middle character area.In addition, target text can be multirow point
Cloth, therefore, line of text rank and the other text style migration of paragraph level may be implemented in embodiment of the disclosure.
Step 202, learn from style picture it is to be replaced fall text text style attribute.
In the present embodiment, can be learnt from style picture by feature extraction network it is to be replaced fall text text style
Attribute.For the neural network of extracted in self-adaptive abstract characteristics, including but not limited to: VGG/Inception/ResNet/
MobileNet/ShuffleNet etc..Text style attribute may include at least one of following: the rotation of text in style image, flat
Shifting, scaling, text size, color, stroke weight, font.Feature extraction network can be one that condition generates confrontation network
Point.It further includes textual image that the input of condition generation confrontation network, which includes style picture,.
In some optional implementations of the present embodiment, for capture it is original it is to be replaced fall text inclination, thoroughly
Information converting is penetrated, networks or four sides such as STN (spatial transform network, spatial alternation) can be used directly
Shape detection plus TPS (Thin Plate Spline, thin plate spline function) transform method.
In some optional implementations of the present embodiment, learnt by Stroke Filter (stroke filter) former
Begin it is to be replaced fall text the information such as stroke weight, font, correlation (correlation) operation is similar to, in style picture
Then upper one learnt group convolution carries out convolution operation as convolution kernel on textual image.
It, can be by SENet (squeeze extract network) from style picture in some optional implementations of the present embodiment
It is middle study it is to be replaced fall text colouring information.Colouring information includes the information in tri- channels RGB.
Step 203, foreground picture and mask picture are generated based on text style attribute and textual image.
In the present embodiment, mask picture is that the text style attribute in addition to color of basis from the study of style picture will
Textual image adjusts accordingly generation.Mask picture black bottom wrongly written or mispronounced character, 1 represents white, and 0 represents black.It is raw that condition can be used
Mask picture is generated at confrontation network method.It includes generating network (Generator) and differentiating network that condition, which generates confrontation network,
(Discriminator).The disclosure all figures generated are all to be generated by generating network come then again with differentiation net
Network judge these figures be it is original really scheme or generate to come, differentiate that network is typically all then convolution feature extraction judges
It is 0 or 1.In order to simplify training process, game only can be carried out using network is differentiated to background picture and Target Photo.
Foreground picture is generated on the basis of all text style attributes extracted, that is, foreground picture and mask picture are most
Big difference is that foreground picture includes colouring information.And mask picture is black and white.
Step 204, wiped from style picture it is to be replaced fall text generate background picture.
In the present embodiment, confrontation network can be generated based on condition, realize that style picture generates the Background of erasing text
Piece.The comparison photo before and after a large amount of erasing texts can be used to generate confrontation network as sample training condition.
Step 205, foreground picture, mask picture and background picture are merged and generates Target Photo and exports.
In the present embodiment, confrontation network method is generated based on condition, realized according to foreground image, background image and mask
Image co-registration generates target image.Foreground picture and background picture are merged by mask picture, formula Target=
Mask*Fore+(1-Mask)*Back.Wherein, Target is Target Photo, and Mask is mask picture, and Fore is foreground picture,
Back is background picture.Here * refers to the dot product operation of triple channel.Mask is that 1 place is exactly the part of word multiplied by fore,
Other positions are 0.Mask picture black bottom wrongly written or mispronounced character, 1 represents white, and 0 represents black.
With continued reference to the signal that Fig. 3, Fig. 3 are according to the application scenarios of the method for output information of the present embodiment
Figure.In the application scenarios of Fig. 3, user by terminal to server send include it is to be replaced fall text " INTRODUCE " wind
Trrellis diagram piece and target text " barbarous ".Target text " barbarous " is converted into the text diagram of predetermined format by server
Then piece extracts the inclination of " INTRODUCE ", transitting probability information by capturing conversion module, then is mentioned by stroke filter
Take stroke weight, the font information of " INTRODUCE ".Then according to inclination, transitting probability information and stroke weight, font information
Generate mask picture.The colouring information for extracting " INTRODUCE " by SENet again, then according to colouring information in mask picture
On the basis of Fill Color obtain foreground picture.Wiped from style picture later it is to be replaced fall text generate background picture.Most
Foreground picture, mask picture and background picture are merged afterwards and generates Target Photo and exports.
The disclosure can operate in the AR scene image editor of the end PC or mobile terminal, and task is by the text in scene image
Word is substituted for target text, while retaining each attribute and background attribute of text in source images.In addition, if target text
Shorter than urtext, then edited image should be deleted beyond character zone, and be covered using texture appropriate, such as Fig. 4
It is shown.Such as: in OCR character translation scene, identification English is detected according to scene image and translates into Chinese text, will be generated
Chinese text replacement scene image in English, make generate target image in Chinese attribute and background attribute visually protect
It is consistent to hold scene image.
The disclosure is the Style Transfer in text rank, thus we select Pix2Pix method and we method into
Row compares.Experimental result indicates that Pix2Pix method cannot adapt to the style of new text completely, and edited text structure is not advised
Then, font is inconsistent with before, and background texture is very in disorder, some blurred backgrounds often occurs, in contrast, our side
Method correctly completes the transmission of prospect text and the reservation of background texture, while but also result is schemed with true on the whole
Piece is similar.The quantizating index of Pix2Pix method is also compared simultaneously, our method is all excellent on generated data and real data
In traditional SRnet method.
The disclosure is integrated with the advantage of target text style incremental learning, and the side for generating e-learning is fought using condition
Method, various dimensions learn the text geometrical characteristic and other attributive character of arbitrary shape, while solving other methods and generating target text
The text structure feature that this process can lose.This method applies to image generation, and the speed of service is very fast, can satisfy some realities
When application scenarios.Meanwhile the disclosure edits text image in literal line rank, paragraph rank, our method exists
Subjective vision authenticity and objective quantification score ICDAR test set achieve outstanding achievement.At the same time, condition confrontation generates
Network also have the ability eliminate in the case that across language text and edit cannot keep the background problem consistent with original image.
With further reference to Fig. 5, as the realization to method shown in above-mentioned each figure, present disclose provides one kind for exporting letter
One embodiment of the device of breath, the Installation practice is corresponding with embodiment of the method shown in Fig. 2, which can specifically answer
For in various electronic equipments.
As shown in figure 5, the device 500 for output information of the present embodiment includes: acquiring unit 501, unit
502, the first generation unit 503, the second generation unit 504 and integrated unit 505.Wherein, acquiring unit 501 are configured to obtain
Take including it is to be replaced fall text style picture and including the textual image of target text；Unit 502 is configured to from wind
Learn in trrellis diagram piece it is to be replaced fall text text style attribute；First generation unit 503 is configured to based on text style category
Property and textual image generate foreground picture and mask picture；Second generation unit 504, be configured to from style picture wipe to
It replaces text and generates background picture；Integrated unit 505 is configured to merge foreground picture, mask picture and background picture
It generates Target Photo and exports.
In the present embodiment, it is generated for the acquiring unit 501 of the device of output information 500, unit 502, first
The specific processing of unit 503, the second generation unit 504 and integrated unit 505 can be with reference to the step in Fig. 2 corresponding embodiment
201-205。
In some optional implementations of the present embodiment, unit 502 is further configured to: being become by space
Switching network learn from style picture it is to be replaced fall the inclination of text, transitting probability information.
In some optional implementations of the present embodiment, unit 502 is further configured to: passing through quadrangle
Detection plus thin plate spline function converting means learn from style picture it is to be replaced fall the inclination of text, transitting probability information.
In some optional implementations of the present embodiment, unit 502 is further configured to: passing through stroke mistake
Filter learn from style picture it is to be replaced fall the stroke weight of text, font information.
In some optional implementations of the present embodiment, the first generation unit 503 is further configured to: based on to
Replace inclination, transitting probability information and the stroke weight of text, font information generates mask picture.
In some optional implementations of the present embodiment, unit 502 is further configured to: from style picture
It is middle study it is to be replaced fall text colouring information.
In some optional implementations of the present embodiment, acquiring unit 501 is further configured to: obtaining target text
Word；The textual image of predetermined format is generated based on target text.
In some optional implementations of the present embodiment, foreground picture, mask picture and background picture pass through condition
Confrontation network is generated to generate.
Below with reference to Fig. 6, it illustrates the electronic equipment that is suitable for being used to realize embodiment of the disclosure, (example is as shown in figure 1
Server) 600 structural schematic diagram.Server shown in Fig. 6 is only an example, should not be to the function of embodiment of the disclosure
Any restrictions can be brought with use scope.
As shown in fig. 6, electronic equipment 600 may include processing unit (such as central processing unit, graphics processor etc.)
601, random access can be loaded into according to the program being stored in read-only memory (ROM) 602 or from storage device 608
Program in memory (RAM) 603 and execute various movements appropriate and processing.In RAM 603, it is also stored with electronic equipment
Various programs and data needed for 600 operations.Processing unit 601, ROM 602 and RAM 603 pass through the phase each other of bus 604
Even.Input/output (I/O) interface 605 is also connected to bus 604.
In general, following device can connect to I/O interface 605: including such as touch screen, touch tablet, keyboard, mouse, taking the photograph
As the input unit 606 of head, microphone, accelerometer, gyroscope etc.；Including such as liquid crystal display (LCD), loudspeaker, vibration
The output device 607 of dynamic device etc.；Storage device 608 including such as tape, hard disk etc.；And communication device 609.Communication device
609, which can permit electronic equipment 600, is wirelessly or non-wirelessly communicated with other equipment to exchange data.Although Fig. 6 shows tool
There is the electronic equipment 600 of various devices, it should be understood that being not required for implementing or having all devices shown.It can be with
Alternatively implement or have more or fewer devices.Each box shown in Fig. 6 can represent a device, can also root
According to needing to represent multiple devices.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product comprising be carried on computer-readable medium
On computer program, which includes the program code for method shown in execution flow chart.In such reality
It applies in example, which can be downloaded and installed from network by communication device 609, or from storage device 608
It is mounted, or is mounted from ROM 602.When the computer program is executed by processing unit 601, the implementation of the disclosure is executed
The above-mentioned function of being limited in the method for example.It should be noted that computer-readable medium described in embodiment of the disclosure can be with
It is computer-readable signal media or computer readable storage medium either the two any combination.It is computer-readable
Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device or
Device, or any above combination.The more specific example of computer readable storage medium can include but is not limited to: have
The electrical connection of one or more conducting wires, portable computer diskette, hard disk, random access storage device (RAM), read-only memory
(ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-
ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In embodiment of the disclosure, computer
Readable storage medium storing program for executing can be any tangible medium for including or store program, which can be commanded execution system, device
Either device use or in connection.And in embodiment of the disclosure, computer-readable signal media may include
In a base band or as the data-signal that carrier wave a part is propagated, wherein carrying computer-readable program code.It is this
The data-signal of propagation can take various forms, including but not limited to electromagnetic signal, optical signal or above-mentioned any appropriate
Combination.Computer-readable signal media can also be any computer-readable medium other than computer readable storage medium, should
Computer-readable signal media can send, propagate or transmit for by instruction execution system, device or device use or
Person's program in connection.The program code for including on computer-readable medium can transmit with any suitable medium,
Including but not limited to: electric wire, optical cable, RF (radio frequency) etc. or above-mentioned any appropriate combination.
Above-mentioned computer-readable medium can be included in above-mentioned electronic equipment；It is also possible to individualism, and not
It is fitted into the electronic equipment.Above-mentioned computer-readable medium carries one or more program, when said one or more
A program by the electronic equipment execute when so that the electronic equipment: obtain include it is to be replaced fall text style picture and including
The textual image of target text；Learn from style picture it is to be replaced fall text text style attribute；Based on text style category
Property and textual image generate foreground picture and mask picture；Wiped from style picture it is to be replaced fall text generate background picture；
Foreground picture, mask picture and background picture are merged and generates Target Photo and exports.
The behaviour for executing embodiment of the disclosure can be write with one or more programming languages or combinations thereof
The computer program code of work, described program design language include object oriented program language-such as Java,
Smalltalk, C++ further include conventional procedural programming language-such as " C " language or similar program design language
Speech.Program code can be executed fully on the user computer, partly be executed on the user computer, as an independence
Software package execute, part on the user computer part execute on the remote computer or completely in remote computer or
It is executed on server.In situations involving remote computers, remote computer can pass through the network of any kind --- packet
It includes local area network (LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as benefit
It is connected with ISP by internet).
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the disclosure, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, program segment or code of table, a part of the module, program segment or code include one or more use
The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are actually
It can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it to infuse
Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart can be with holding
The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction
Combination realize.
Being described in unit involved in embodiment of the disclosure can be realized by way of software, can also be passed through
The mode of hardware is realized.Described unit also can be set in the processor, for example, can be described as: a kind of processor
Including acquiring unit, unit, the first generation unit, the second generation unit and integrated unit.Wherein, the title of these units
Do not constitute the restriction to the unit itself under certain conditions, for example, acquiring unit be also described as " acquisition include to
Replace the style picture of text and the unit of the textual image including target text ".
Above description is only the preferred embodiment of the disclosure and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the disclosure, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from the inventive concept, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed in the disclosure
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (18)
1. a kind of method for output information, comprising:
Obtain include it is to be replaced fall text style picture and textual image including target text；
Learn from the style picture it is described it is to be replaced fall text text style attribute；
Foreground picture and mask picture are generated based on the text style attribute and the textual image；
Wiped from the style picture it is described it is to be replaced fall text generate background picture；
The foreground picture, the mask picture and the background picture are merged and generates Target Photo and exports.
2. according to the method described in claim 1, wherein, it is described learn from the style picture it is described it is to be replaced fall text
Text style attribute, comprising:
Learnt from the style picture by spatial alternation network it is described it is to be replaced fall the inclination of text, transitting probability information.
3. according to the method described in claim 1, wherein, it is described learn from the style picture it is described it is to be replaced fall text
Text style attribute, comprising:
By quadrangle detection plus thin plate spline function transform method learn from the style picture it is described it is to be replaced fall text
Inclination, transitting probability information.
4. according to the method described in claim 3, wherein, it is described learn from the style picture it is described it is to be replaced fall text
Text style attribute, comprising:
Learnt from the style picture by stroke filter it is described it is to be replaced fall the stroke weight of text, font information.
5. described to generate mask picture based on the text style attribute according to the method described in claim 4, wherein, comprising:
Based on it is described it is to be replaced fall inclination, transitting probability information and the stroke weight of text, font information generate mask picture.
6. according to the method described in claim 1, wherein, it is described learn from the style picture it is described it is to be replaced fall text
Text style attribute, comprising:
Learn from the style picture it is described it is to be replaced fall text colouring information.
7. according to the method described in claim 1, wherein, the acquisition includes the textual image of target text, comprising:
Obtain target text；
The textual image of predetermined format is generated based on the target text.
8. method described in one of -7 according to claim 1, wherein the foreground picture, the mask picture and the background
Picture generates confrontation network by condition and generates.
9. a kind of device for output information, comprising:
Acquiring unit, be configured to obtain include it is to be replaced fall text style picture and textual image including target text；
Unit, be configured to learn from the style picture it is described it is to be replaced fall text text style attribute；
First generation unit is configured to generate foreground picture and mask based on the text style attribute and the textual image
Picture；
Second generation unit, be configured to wipe from the style picture it is described it is to be replaced fall text generate background picture；
Integrated unit is configured to merging the foreground picture, the mask picture and the background picture into generation target figure
Piece simultaneously exports.
10. device according to claim 9, wherein the unit is further configured to:
Learnt from the style picture by spatial alternation network it is described it is to be replaced fall the inclination of text, transitting probability information.
11. device according to claim 9, wherein the unit is further configured to:
By quadrangle detection plus thin plate spline function converting means learn from the style picture it is described it is to be replaced fall text
Inclination, transitting probability information.
12. device according to claim 11, wherein the unit is further configured to:
Learnt from the style picture by stroke filter it is described it is to be replaced fall the stroke weight of text, font information.
13. device according to claim 12, wherein first generation unit is further configured to:
Based on it is described it is to be replaced fall inclination, transitting probability information and the stroke weight of text, font information generate mask picture.
14. device according to claim 9, wherein the unit is further configured to:
Learn from the style picture it is described it is to be replaced fall text colouring information.
15. device according to claim 9, wherein the acquiring unit is further configured to:
Obtain target text；
The textual image of predetermined format is generated based on the target text.
16. the device according to one of claim 9-15, wherein the foreground picture, the mask picture and the back
Scape picture generates confrontation network by condition and generates.
17. a kind of electronic equipment for output information, comprising:
One or more processors；
Storage device is stored thereon with one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
Now such as method described in any one of claims 1-8.
18. a kind of computer-readable medium, is stored thereon with computer program, wherein real when described program is executed by processor
Now such as method described in any one of claims 1-8.
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