Single-Image 3D Avatar Generation With Automatic Rigging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing 3D avatar generation systems require multiple images from various angles and manual rigging operations to accurately resemble a user's appearance, leading to inefficiencies and user inconvenience.
Innovation Solution
An electronic apparatus and method that utilizes neural network models to generate a 3D avatar from a single image by obtaining a 3D shape model, mapping textures, and performing rigging operations to create a realistic 3D avatar without manual user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple images from various angles are used for 3D avatar generation, then the appearance resemblance is improved, but the operation complexity and time consumption increase
Solution Approach 1:
The system performs preliminary 3D shape model generation and texture mapping using a single image, preparing all necessary components before final avatar assembly. This eliminates the need for multiple image captures and pre-processing steps required by conventional systems.
Solution Approach 2:
The system creates a virtual 3D copy of the user's appearance from a single 2D image using neural network models. This digital copying approach replaces the need for physical multi-angle photography while maintaining high fidelity in the reconstructed appearance.
2Manufacturing precision
If manual rigging operations are required for 3D avatar generation, then the customization precision is improved, but the ease of operation deteriorates
Solution Approach 1:
The system performs automatic rigging operations through neural network models that autonomously determine joint positions and skeletal structures from the input image. This self-service approach eliminates manual user intervention while maintaining accurate anatomical positioning and avatar customization.
3Device complexity
If existing template models are used for 3D avatar generation, then the device complexity is reduced, but the appearance resemblance deteriorates
Solution Approach 1:
The system uses neural network models to dynamically adjust and optimize multiple parameters including 3D shape characteristics, texture mapping coordinates, and rigging configurations. This parameter optimization enables high-fidelity appearance reconstruction while maintaining manageable system complexity through automated processing.
Data Source
AI summary
Provide is an electronic apparatus that includes a communication interface, a memory storing at least one instruction, and a processor configured to execute the at least one instruction to: obtain an image including a person object, obtain a 3D shape model corresponding to the person object included in the image, map a texture of the image to the 3D shape model based on identification information for each area of the 3D shape model, and generate a 3D avatar corresponding to the person object based on the 3D shape model to which the texture of the image is mapped.