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Awesome GitHub RepositoriesCondition Map Rendering
The process of rendering body data into visual maps used as diffusion conditioning signals.
Distinct from Pose Conditioning: Focuses on the generation/rendering of maps rather than the injection of signals into the model.
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Awesome Condition Map Rendering GitHub Repositories
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- fudan-generative-vision/champ
fudan-generative-vision/champ
4,253Auf GitHub ansehenChamp is a generative vision system and controllable image-to-video generator designed for human image animation. It uses a diffusion-based video synthesizer and 3D parametric guidance to transform a single reference image into a consistent sequence of motion based on external driving data. The framework distinguishes itself through a human pose transfer system that employs 3D body parametric extraction and coordinate-space alignment. This allows the model to map motion from a driving video to a reference person by adjusting for body scales and camera perspectives using depth and semantic con
Renders processed 3D body data into visual condition maps to guide the animation process.
Pythonhuman-animationimage-animatiolnvideo-generation
