CN117150089B - Character artistic image changing system based on AIGC technology - Google Patents
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Abstract
The invention provides a character artistic image changing system based on AIGC technology, which relates to the field of electric digital data processing, and comprises an interaction processing module, a data storage module, an intelligent analysis module and an intelligent changing module, wherein the interaction processing module comprises an information input unit and a model display unit, the information input unit is used for inputting character image files to be modified and modification requirements, and the model display unit is used for displaying three-dimensional images of character models; the system can carry out intelligent analysis on a large number of existing models, change the target model based on analysis results and input requirements, and realize high efficiency and accuracy of model change.
Description
Technical Field
The invention relates to the field of electric digital data processing, in particular to a character artistic image changing system based on an AIGC technology.
Background
With the development of the avatar, more and more people communicate in the network through the avatar, and can improve the aesthetic feeling while protecting the privacy of the portrait of themselves, but constructing one avatar requires much effort, especially a 3D avatar, and often does not reach the desired avatar effect of themselves. Therefore, there is a need for a system that can quickly obtain a character image that meets self-requirements by modifying a base character image, thereby improving the accuracy of the character image and the efficiency of the character image construction process.
The foregoing discussion of the background art is intended to facilitate an understanding of the present invention only. This discussion is not an admission or admission that any of the material referred to was common general knowledge.
Many character image generation systems have been developed and found to have a system as disclosed in publication number CN113192161B by a number of search and reference, and these systems generally include: acquiring text content and converting the text content into voice; matching a character action according to the text content or the voice; inputting the voice and the character actions into a high-definition video character synchronous lip model to obtain a face lip image sequence synchronous with the voice; and inputting the virtual human image and the human face lip image sequence into a video-driven virtual character model to obtain a high-definition virtual human image video. However, the system can only be used for generating the character image, and the generated character image cannot be deeply modified to meet the requirement.
Disclosure of Invention
The invention aims to provide a character artistic image changing system based on AIGC technology aiming at the defects.
The invention adopts the following technical scheme:
the character artistic image changing system based on AIGC technology includes interactive processing module, data storage module, intelligent analysis module and intelligent changing module;
the interactive processing module comprises an information input unit and a model display unit, wherein the information input unit is used for inputting character image files needing to be modified and modification requirements, and the model display unit is used for displaying three-dimensional images of the character model;
the interaction processing module is used for inputting data and displaying content, the data storage module is used for storing character image data, the intelligent analysis module is used for analyzing the character image, and the intelligent changing module is used for executing model changing of the character image;
the data storage module comprises a model data storage unit and a modification case storage unit, wherein the model data storage unit is used for storing a character model file and description information of each character image, and the modification case storage unit is used for storing case data of an actual modification process of the character model;
the intelligent analysis module comprises a character model analysis unit and a modification operation analysis unit, wherein the character model analysis unit is used for analyzing characteristics of a character model, and the modification operation analysis unit is used for analyzing effects of each operation process in a modification process;
the intelligent change module comprises a demand analysis unit and a modification execution unit, wherein the demand analysis unit is used for analyzing the meaning of the modification demand, and the modification execution unit is used for executing a specific modification process of the character model;
further, the character model analysis unit comprises a model measurement processor, a description conversion processor, a mapping analysis processor and a first analysis management processor, wherein the first analysis management processor is used for performing flow management on different analysis types, the model measurement processor is used for measuring data in the character model, the description conversion processor is used for performing data conversion on description information of the character model, and the mapping analysis processor is used for establishing a mapping model from the measured data to the description data;
further, the process of establishing the mapping model by the mapping analysis processor comprises the following steps:
s21, selecting a state item, namely a mapping state item;
s22, screening character models with the same mapping state item values to form a set, namely a mapping model group;
s23, calculating standard deviation of each measurement item in the mapping model group, and taking the measurement items with standard deviations smaller than a first threshold value in all the mapping model groups as mapping measurement items;
s24, establishing a mapping formula of the mapping state item according to the following formula:
；
wherein,represents the i-th mapping coefficient,/->Average number of measurements for measurement item for ith map,/->For the value of the mapping state item, n is the number of mapping measurement items;
obtaining n mapping coefficients through data solving of n mapping model groups;
s25, repeating the steps S21 to S24 to obtain specific mapping formulas of all the state items, and storing and recording information in the mapping formulas;
further, the modification execution unit comprises a vector processor, an operation retrieval processor and an action execution processor, wherein the vector processor is used for carrying out calculation processing on the vector, the operation retrieval processor is used for acquiring operation data from the effect memory, and the action execution processor is used for executing corresponding actions on the character model according to the operation data;
further, the operation search processor calculates the modification vector and the modification effect in the effect memory according to the following formula:
；
wherein, P is a retrieval value,to modify the value of the j-th element in vector y, m is the number of elements in modification vector y,to modify the j-th effect value in the effect;
the operation searching processor acquires the action and the action parameters with the searching value smaller than a third threshold value from the effect memory, and sends the action and the action parameters to the action executing processor.
The beneficial effects obtained by the invention are as follows:
the system digitizes the characteristics of the character by analyzing a large number of character models, and connects each modification action with the change of the digitized characteristics by analyzing the actual modification cases.
For a further understanding of the nature and the technical aspects of the present invention, reference should be made to the following detailed description of the invention and the accompanying drawings, which are provided for purposes of reference only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic diagram of the overall structural framework of the present invention;
FIG. 2 is a schematic diagram of the intelligent analysis module according to the present invention;
FIG. 3 is a schematic diagram of the intelligent changing module according to the present invention;
FIG. 4 is a schematic diagram of a character model analysis unit according to the present invention;
FIG. 5 is a schematic diagram of a modified execution unit according to the present invention.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not intended to be drawn to actual dimensions. The following embodiments will further illustrate the related art content of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one: the embodiment provides a character artistic image changing system based on AIGC technology, which comprises an interaction processing module, a data storage module, an intelligent analysis module and an intelligent changing module in combination with FIG. 1;
the interactive processing module comprises an information input unit and a model display unit, wherein the information input unit is used for inputting character image files needing to be modified and modification requirements, and the model display unit is used for displaying three-dimensional images of the character model;
the interaction processing module is used for inputting data and displaying content, the data storage module is used for storing character image data, the intelligent analysis module is used for analyzing the character image, and the intelligent changing module is used for executing model changing of the character image;
the data storage module comprises a model data storage unit and a modification case storage unit, wherein the model data storage unit is used for storing a character model file and description information of each character image, and the modification case storage unit is used for storing case data of an actual modification process of the character model;
the intelligent analysis module comprises a character model analysis unit and a modification operation analysis unit, wherein the character model analysis unit is used for analyzing characteristics of a character model, and the modification operation analysis unit is used for analyzing effects of each operation process in a modification process;
the intelligent change module comprises a demand analysis unit and a modification execution unit, wherein the demand analysis unit is used for analyzing the meaning of the modification demand, and the modification execution unit is used for executing a specific modification process of the character model;
the character model analysis unit comprises a model measurement processor, a description conversion processor, a mapping analysis processor and a first analysis management processor, wherein the first analysis management processor is used for performing flow management on different analysis types, the model measurement processor is used for measuring data in a character model, the description conversion processor is used for performing data conversion on description information of the character model, and the mapping analysis processor is used for establishing a mapping model from the measured data to the description data;
the process of establishing the mapping model by the mapping analysis processor comprises the following steps:
s21, selecting a state item, namely a mapping state item;
s22, screening character models with the same mapping state item values to form a set, namely a mapping model group;
s23, calculating standard deviation of each measurement item in the mapping model group, and taking the measurement items with standard deviations smaller than a first threshold value in all the mapping model groups as mapping measurement items;
s24, establishing a mapping formula of the mapping state item according to the following formula:
；
wherein,represents the i-th mapping coefficient,/->Average number of measurements for measurement item for ith map,/->For the value of the mapping state item, n is the number of mapping measurement items;
obtaining n mapping coefficients through data solving of n mapping model groups;
s25, repeating the steps S21 to S24 to obtain specific mapping formulas of all the state items, and storing and recording information in the mapping formulas;
the modification execution unit comprises a vector processor, an operation retrieval processor and an action execution processor, wherein the vector processor is used for carrying out calculation processing on vectors, the operation retrieval processor is used for acquiring operation data from the effect memory, and the action execution processor is used for executing corresponding actions on the character model according to the operation data;
the operation retrieval processor calculates the modification vector and the modification effect in the effect memory according to the following formula:
；
wherein, P is a retrieval value,to modify the value of the j-th element in vector y, m is the number of elements in modification vector y,to modify the j-th effect value in the effect;
the operation searching processor acquires the action and the action parameters with the searching value smaller than a third threshold value from the effect memory, and sends the action and the action parameters to the action executing processor.
Embodiment two: the embodiment comprises the whole content of the first embodiment, and provides a character artistic image changing system based on an AIGC technology, which comprises an interaction processing module, a data storage module, an intelligent analysis module and an intelligent changing module, wherein the interaction processing module is used for inputting data and displaying content, the data storage module is used for storing character image data, the intelligent analysis module is used for analyzing the character image, and the intelligent changing module is used for executing model changing of the character image;
the interactive processing module comprises an information input unit and a model display unit, wherein the information input unit is used for inputting character image files needing to be modified and modification requirements, and the model display unit is used for displaying three-dimensional images of the character model;
the data storage module comprises a model data storage unit and a modification case storage unit, wherein the model data storage unit is used for storing a character model file and description information of each character image, and the modification case storage unit is used for storing case data of an actual modification process of the character model;
referring to fig. 2, the intelligent analysis module includes a character model analysis unit for analyzing characteristics of a character model and a modification operation analysis unit for analyzing effects of each operation process in a modification process;
referring to fig. 3, the intelligent modification module includes a requirement analysis unit and a modification execution unit, where the requirement analysis unit is used to analyze meaning of modification requirement, and the modification execution unit is used to execute a specific modification process of the character model;
the image changing process of the system comprises the following steps:
s1, inputting a character model to be changed and a change requirement through an information input unit;
s2, the demand analysis unit analyzes and processes the text information of the changed demand to obtain a demand vector;
s3, analyzing the character model by a character model analysis unit to obtain a state vector;
s4, the modification execution unit processes the state vector and the demand vector to obtain a modification vector;
s5, the modification execution unit acquires operation data from the modification operation analysis unit based on the modification vector;
s6, the modification execution unit changes the character model based on the operation data;
in the image changing process, the model display unit can display the three-dimensional image of the character model in real time, and can add changing requirements in the information input unit in real time according to the displayed three-dimensional image effect;
referring to fig. 4, the character model analysis unit includes a model measurement processor, a description conversion processor, a mapping analysis processor, and a first analysis management processor, where the first analysis management processor is used for performing flow management on different analysis types, the model measurement processor is used for measuring data in the character model, the description conversion processor is used for performing data conversion on description information of the character model, and the mapping analysis processor is used for building a mapping model from the measured data to the description data;
the analysis type of the character model analysis unit comprises a normal state analysis and a change analysis, wherein the normal state analysis acquires data from the model data storage unit for analysis, and the change analysis analyzes an input character model;
the model measurement processor is used for measuring the character model according to the measurement rule and sending a measurement result and the paired measurement item names to the mapping analysis processor;
the description conversion processor acquires the text content of the character model description information, converts the text content into specific numerical values of state items based on the conversion rule, and sends the value of each state item to the mapping analysis processor;
the process of establishing the mapping model by the mapping analysis processor comprises the following steps:
s21, selecting a state item, namely a mapping state item;
s22, screening character models with the same mapping state item values to form a set, namely a mapping model group;
s23, calculating standard deviation of each measurement item in the mapping model group, and taking the measurement items with standard deviations smaller than a first threshold value in all the mapping model groups as mapping measurement items;
s24, establishing a mapping formula of the mapping state item according to the following formula:
；
wherein,represents the i-th mapping coefficient,/->Average number of measurements for measurement item for ith map,/->For the value of the mapping state item, n is the number of mapping measurement items;
obtaining n mapping coefficients through data solving of n mapping model groups;
s25, repeating the steps S21 to S24 to obtain specific mapping formulas of all the state items, and storing and recording information in the mapping formulas;
in normal analysis, the first analysis management processor monitors the model stored in the model data storage unit, and when a new model is found, acquires new model data from the model data storage unit and respectively sends a character model and description information to the model measurement processor and the description conversion processor;
in the modification analysis, the first analysis management processor transmits the received character model to the model measurement processor and receives the measured values, and then acquires mapping information from the mapping analysis processor to map the measured values to state values;
the modification operation analysis unit comprises an action extraction processor, a second analysis management processor and an effect memory, wherein the action extraction processor is used for extracting a specific modification action from modification case data, the second analysis management processor is used for performing flow management on operation analysis, and the effect memory is used for storing analysis results;
the second analysis management processor acquires a specific case from the modification case storage unit, sends two character models before and after modification in the case to the character model analysis unit, receives the values of the state items, compares the values of the state items of the two character models to obtain a modification effect, and sends modification process data in the case to the action extraction processor and receives specific actions and action parameters;
the action, the action parameters and the modification effect are stored in an effect memory as analysis results;
the demand vector obtained by the demand analysis unit is a vector formed by the values of part of state items, the state vector obtained by the character model analysis unit is a vector formed by the values of all state items, and the modification execution unit comprises a vector processor, an operation retrieval processor and an action execution processor in combination with fig. 5, wherein the vector processor is used for carrying out calculation processing on the vector, the operation retrieval processor is used for obtaining operation data from an effect memory, and the action execution processor executes corresponding actions on the character model according to the operation data;
the vector processor acquires the sequence number information of each state item in the demand vector, extracts the value of the corresponding state item from the state vector, and marks the value as a vectorThe demand vector is denoted->The vector processor will vector +.>Vector->Subtracting to obtain vector->The vector processor pairs vectors +.>The element values of (2) are calculated according to the following formula:
；
wherein,for vector->One element value of->For vector->The element value of the corresponding position in (a), r is an adjustment judgment value;
when r is less than the second threshold, the vector is retainedElement->；
(Vector)The reserved element values form a modification vector y;
the operation retrieval processor calculates the modification vector and the modification effect in the effect memory according to the following formula:
；
wherein, P is a retrieval value,to modify the value of the j-th element in vector y, m is the number of elements in modification vector y,to modify the j-th effect value in the effect;
the operation searching processor acquires actions and action parameters with searching values smaller than a third threshold value from the effect memory, and sends the actions and the action parameters to the action executing processor;
the action execution processor averages the received action parameters of the same action, and then modifies the character model by taking the averaged result as the action parameters of the modified action.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by applying the description of the present invention and the accompanying drawings are included in the scope of the present invention, and in addition, elements in the present invention can be updated as the technology develops.
Claims (1)
1. The character artistic image changing system based on AIGC technology is characterized by comprising an interaction processing module, a data storage module, an intelligent analysis module and an intelligent changing module;
the interactive processing module comprises an information input unit and a model display unit, wherein the information input unit is used for inputting character image files needing to be modified and modification requirements, and the model display unit is used for displaying three-dimensional images of the character model;
the interaction processing module is used for inputting data and displaying content, the data storage module is used for storing character image data, the intelligent analysis module is used for analyzing the character image, and the intelligent changing module is used for executing model changing of the character image;
the data storage module comprises a model data storage unit and a modification case storage unit, wherein the model data storage unit is used for storing a character model file and description information of each character image, and the modification case storage unit is used for storing case data of an actual modification process of the character model;
the intelligent analysis module comprises a character model analysis unit and a modification operation analysis unit, wherein the character model analysis unit is used for analyzing characteristics of a character model, and the modification operation analysis unit is used for analyzing effects of each operation process in a modification process;
the intelligent change module comprises a demand analysis unit and a modification execution unit, wherein the demand analysis unit is used for analyzing the meaning of the modification demand, and the modification execution unit is used for executing a specific modification process of the character model;
the character model analysis unit comprises a model measurement processor, a description conversion processor, a mapping analysis processor and a first analysis management processor, wherein the first analysis management processor is used for performing flow management on different analysis types, the model measurement processor is used for measuring data in a character model, the description conversion processor is used for performing data conversion on description information of the character model, and the mapping analysis processor is used for establishing a mapping model from the measured data to the description data;
the process of establishing the mapping model by the mapping analysis processor comprises the following steps:
s21, selecting a state item, namely a mapping state item;
s22, screening character models with the same mapping state item values to form a set, namely a mapping model group;
s23, calculating standard deviation of each measurement item in the mapping model group, and taking the measurement items with standard deviations smaller than a first threshold value in all the mapping model groups as mapping measurement items;
s24, establishing a mapping formula of the mapping state item according to the following formula:
；
wherein,represents the i-th mapping coefficient,/->Average number of measurements for measurement item for ith map,/->For the value of the mapping state item, n is the number of mapping measurement items;
obtaining n mapping coefficients through data solving of n mapping model groups;
s25, repeating the steps S21 to S24 to obtain specific mapping formulas of all the state items, and storing and recording information in the mapping formulas;
the modification execution unit comprises a vector processor, an operation retrieval processor and an action execution processor, wherein the vector processor is used for carrying out calculation processing on vectors, the operation retrieval processor is used for acquiring operation data from the effect memory, and the action execution processor is used for executing corresponding actions on the character model according to the operation data;
the operation retrieval processor calculates the modification vector and the modification effect in the effect memory according to the following formula:
；
wherein, P is a retrieval value,for modifying the value of the j-th element in the vector y, m is the number of elements in the modified vector y,/->To modify the j-th effect value in the effect;
the operation searching processor acquires the action and the action parameters with the searching value smaller than a third threshold value from the effect memory, and sends the action and the action parameters to the action executing processor.
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| CN115334325A (en) * | 2022-06-23 | 2022-11-11 | 联通沃音乐文化有限公司 | Method and system for generating live video stream based on editable three-dimensional virtual image |
| KR102476678B1 (en) * | 2022-07-21 | 2022-12-12 | 주흘이엔지 주식회사 | Image processing system for correcting error image |
| CN115168745A (en) * | 2022-09-02 | 2022-10-11 | 环球数科集团有限公司 | Virtual character image recreating method and system based on image technology |
| CN116168125A (en) * | 2023-02-24 | 2023-05-26 | 中国第一汽车股份有限公司 | Virtual image and scene control method and system, intelligent cabin and vehicle |
| CN116091667A (en) * | 2023-03-06 | 2023-05-09 | 环球数科集团有限公司 | Character artistic image generation system based on AIGC technology |
| CN116306317A (en) * | 2023-05-12 | 2023-06-23 | 环球数科集团有限公司 | Automatic AIGC modeling system based on artificial intelligence |
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