Single-Image Human Body Animation With On-Device Motion Rendering
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Solution Overview
Problem
Existing technologies struggle to animate a single image of a human body in real-time on mobile devices without the need for internet connectivity or server-side computational resources, while maintaining realistic movements and visual effects.
Innovation Solution
A mobile application utilizing neural networks for image segmentation, pose estimation, and 3D model generation, allowing users to select motions, apply effects, and generate animated videos of the human body on mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If neural networks are used for image segmentation, pose estimation, and 3D model generation on mobile devices, then animation quality and realism are improved, but computational complexity and processing time increase
Solution Approach 1:
The patent divides the complex animation pipeline into separate processing stages: image segmentation to isolate the human body, pose estimation to determine body pose, and 3D model generation to create the animated character. This segmentation allows each component to be optimized independently and processed sequentially, reducing overall computational complexity while maintaining high animation quality.
Solution Approach 2:
The system performs preliminary processing by pre-segmenting the input image to extract the human body portion before animation generation. This preliminary action prepares the data in advance, reducing the computational burden during the main animation rendering process and enabling faster real-time animation on mobile devices.
2Speed
If real-time animation is achieved on mobile devices without server-side resources, then independence and speed are improved, but device hardware requirements and energy consumption increase
Solution Approach 1:
The patent extracts and processes only the necessary portions of the input image (the human body) through segmentation, rather than processing the entire image. This extraction approach reduces the amount of data that needs to be processed in real-time on the mobile device, lowering energy consumption while maintaining fast processing speeds for animation generation.
3Adaptability or versatility
If a single image is used for animation instead of video sequences, then simplicity and data requirements are improved, but animation flexibility and motion variety are reduced
Solution Approach 1:
The system applies dynamic motion templates and animation parameters to the segmented body portion, allowing a single static image to be transformed into various animated sequences with different motions. This dynamic approach enables motion variety and adaptability without requiring multiple input images or video sequences, maintaining simplicity in terms of input data quantity.
Data Source
AI summary
Provided are systems and methods for animating a single image of a human body and applying effects. An example method includes receiving an image of a body, receiving, via a user interface, a user input including parameters associated with a motion, fitting a portion of the image of the body to a hair model designed to generate a hair image corresponding to the motion, where the portion of the image of the body includes hair, and generating a video featuring the body repeating the motion, where the generation of the video is based on the image of the body, the parameters associated with the motion, and the hair image generated by the hair model.