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TRAvatar
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Project page of the paper 'Towards Practical Capture of High-Fidelity Relightable Avatars
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Towards Practical Capture of High-Fidelity Relightable Avatars Towards Practical Capture of High-Fidelity Relightable Avatars Haotian Yang 1 , Mingwu Zheng 1 , Wanquan Feng 1 , Haibin Huang 1 , Yu-Kun Lai 2 , Pengfei Wan 1 , Zhongyuan Wang 1 , Chongyang Ma 1 , 1 Kuaishou Technology 2 Cardiff University SIGGRAPH Asia 2023 Code (comimg soon!) arXiv We present TRAvatar, a novel framework to capture and reconstruct high-fidelity volumetric avatars. Trained efficiently end-to-end on multi-view image sequences under varying illuminations, our virtual avatars can be relighted and animated in real-time of high fidelity. Abstract In this paper, we propose a novel framework, Tracking-free Relightable Avatar (TRAvatar), for capturing and reconstructing high-fidelity 3D avatars. Compared to previous methods, TRAvatar works in a more practical and efficient setting. Specifically, TRAvatar is trained with dynamic image sequences captu...
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