Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering
Ruizhi Shao, Zerong Zheng, Hanzhang Tu, Boning Liu, Hongwen Zhang, Yebin Liu
2023Year
139Top-tier citations
Abstract
Figure 1. Given 4 sparse static RGB camera views of a dynamic scene (a), our proposed Tensor4D decomposition enables multiview reconstruction to achieve fine-grained geometry reconstruction even on human fingers (b) and temporal-consistent novel view synthesis on a 3D holographic display (c,d,e). The 4 cameras are settled on four conners of the display. The proposed method demonstrates low-cost, portable and highly immersive telepresence experience.
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Install the CLIlune papers fulltext f6df3a5a-e4b7-4dfe-95c5-96a694ebf81fCited by top-tier papers139
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