Single-Image Body Animation With 3D Mesh Reconstruction
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Solution Overview
Problem
Existing technologies struggle to create realistic animations of a person's body from a single photograph, lacking efficiency and realism in generating dynamic movements.
Innovation Solution
A method and system for single image-based real-time body animation using a generic model trained on diverse datasets, segmenting the image, determining key points, fitting a 3D model, and applying pose parameters to generate animated frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a generic model trained on diverse datasets is used for body animation, then the realism and adaptability of the animation is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The system segments the body into multiple joints and segments, with each segment independently controllable through pose parameters. This allows the complex 3D model to be manipulated through simpler, modular transformations, reducing the effective complexity while maintaining adaptability across different body types and poses
Solution Approach 2:
The patent uses parameter changes by transforming the 3D model through pose parameters that define joint rotations and translations. The generic model adapts to different bodies by adjusting shape parameters while maintaining the same underlying 3D structure, achieving versatility through mathematical parameter transformation rather than complex computational processing
2Manufacturing precision
If server-side computational resources are used for body animation, then the animation quality and realism are improved, but the ease of operation and portability deteriorate
Solution Approach 1:
The system creates a simplified 2D representation (mask) of the body from the input image, which serves as a copy that can be processed locally without requiring the original complex 3D rendering pipeline. This 2D mask can be animated using pose parameters and then mapped back to the 3D model, enabling high-quality animation to be performed on mobile devices rather than requiring server-side resources
Solution Approach 2:
The patent transitions from 2D image input to 3D model output through an intermediate 2D animated mask representation. This dimensional transformation allows the system to leverage the computational efficiency of mobile devices while achieving 3D animation quality, eliminating the need for server-side processing
3Productivity
If real-time animation is implemented, then the speed and productivity are improved, but the manufacturing precision and animation realism may deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-processing the input image to create the body mask and keypoint detections before animation. The 3D model is also pre-configured with the generic human body structure. These preliminary preparations enable real-time animation by avoiding complex computations during the animation rendering phase, while maintaining high realism through the pre-established 3D model structure
Data Source
AI summary
Systems and methods for text and audio-based real-time face reenactment are provided. An example method includes receiving an input image including a body of a person, fitting a model to the body in the input image, generating a warped depth map and a warped normal map corresponding to the body in the input image, generating, based on the warped depth map and the warped normal map, a point cloud representing a surface of the body, generating, by traversing the point cloud, a first mesh for a front side surface of the body and a second mesh for a back side surface of the body, and merging the first mesh and the second mesh into a reconstructed three-dimensional mesh of the body.