GenLCA enables scalable training of a 3D diffusion model for photorealistic, animatable full-body avatars by tokenizing large-scale real-world videos with a pretrained reconstructor and applying visibility-aware diffusion training to handle partial observations.
InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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GenLCA: 3D Diffusion for Full-Body Avatars from In-the-Wild Videos
GenLCA enables scalable training of a 3D diffusion model for photorealistic, animatable full-body avatars by tokenizing large-scale real-world videos with a pretrained reconstructor and applying visibility-aware diffusion training to handle partial observations.