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ELICIT creates free-viewpoint motion videos from a single image by constructing an animatable NeRF representation in one-shot learning. Offcial website of 'One-shot Implicit Animatable Avatars with Mo
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2026-03-03 02:41:11
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ELICIT One-shot Implicit Animatable Avatars with Model-based Priors Yangyi Huang 1* , Hongwei Yi 2* , Weiyang Liu 2,3 , Haofan Wang 4 , Boxi Wu 1 , Wenxiao Wang 1 , Binbin Lin 1 , Debing Zhang 4 , Deng Cai 1 , 1 State Key Lab of CAD & CG, Zhejiang University 2 Max Planck Institute for Intelligent Systems, Tübingen, Germany 3 University of Cambridge 4 Xiaohongshu Inc. * denotes equal contribution PDF arXiv Code ELICIT creates free-viewpoint motion videos from a single image by constructing an animatable NeRF representation in one-shot learning. Abstract Existing neural rendering methods for creating human avatars typically either require dense input signals such as video or multi-view images, or leverage a learned prior from large-scale specific 3D human datasets such that reconstruction can be performed with sparse-view inputs. Most of these methods fail to ...
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