LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes
Meng Wang, Yu-Shen Liu, Yue Gao, Kanle Shi, Yi Fang, Zhizhong Han
2023Year
7Top-tier citations
Abstract
ing. Our LP-DIF can restore more geometry details, and thus improve the quality of 3D reconstruction. Experiments demonstrate that our method can achieve the state-of-theart performance over previous methods. Code is available at https://github.com/gtyxyz/lpdif .
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Cited by top-tier papers7
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- Implicit Neural Representations with Periodic Activation FunctionsVincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell et al.NeurIPS 2020 · 4,008 citations
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