Pairwise Avatar Image Generation Using Pre-Trained Models
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Solution Overview
Problem
Existing painting software programs can only generate single images and are unable to create images with pairwise relationships, such as couple or bestie images, failing to meet the need for personalized avatars with specific relationships.
Innovation Solution
An image generation method that involves obtaining target information including a text set, transmitting an image generation request to a server, and receiving M groups of images generated by the server based on the target information and a pre-trained image generation model, where each group includes two images with a pairwise relationship.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing painting software programs are used to generate personalized avatars, then single image generation is achieved, but images with pairwise relationships (such as couple images and bestie images) cannot be generated
Solution Approach 1:
The image generation model is designed to handle multiple types of image generation tasks including single image generation and pairwise relationship image generation (couple images, bestie images). The model takes text descriptions and generates appropriate images based on the relationship type, making the system versatile and adaptable to different user needs without requiring separate software for each function.
Solution Approach 2:
The system segments the image generation process into distinct stages: receiving text description, identifying relationship type, generating appropriate images based on relationship category, and presenting results. This segmentation allows the system to handle different relationship types systematically while maintaining overall functionality.
2Adaptability or versatility
If a pre-trained image generation model is used to generate M groups of images with pairwise relationships, then personalized avatar requirements are met, but the complexity of the generation system increases
Solution Approach 1:
The image generation model is pre-trained with knowledge of various pairwise relationships and image generation patterns before being deployed. This preliminary training allows the system to handle complex relationship-based image generation tasks without requiring complex real-time processing logic, thereby reducing operational system complexity while maintaining high adaptability for personalized avatar generation.
Solution Approach 2:
The system uses a pre-trained model that has learned from vast datasets of images and their relationships. By leveraging this pre-existing knowledge and patterns stored in the model, the system can generate personalized avatar images without requiring complex computation during actual use, simplifying the operational system structure.
Data Source
AI summary
This application provides an image generation method, apparatus, and device, and a storage medium, and relates to the field of computer technologies. The method includes: obtaining target information for performing image generation, the target information including a text set; transmitting an image generation request to a server in response to an image generation operation on the target information, the image generation request carrying the target information; receiving M groups of images transmitted by the server, each group of the M groups of images including two images that have a pairwise relationship in terms of preset content, the M groups of images being generated by the server based on the target information and a pre-trained image generation model, and M being a positive integer; and displaying the M groups of images.