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SparseNeRF
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Project page for SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
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2026-01-07 23:42:37
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SparseNeRF SparseNeRF : Distilling Depth Ranking for Few-shot Novel View Synthesis ICCV 2023 Guangcong Wang Zhaoxi Chen Chen Change Loy Ziwei Liu Nanyang Technological University Paper Video Code TL;DR: We present SparseNeRF, a simple yet effective method that synthesizes novel views given a few images. SparseNeRF distills robust local depth ranking priors from real-world inaccurate depth observations, such as pre-trained monocular depth estimation models or consumer-level depth sensors. Abstract Neural Radiance Field (NeRF) significantly degrades when only a limited number of views are available. To complement the lack of 3D information, depth-based models, such as DSNeRF and MonoSDF, explicitly assume the availability of accurate depth maps of multiple views. They linearly scale the accu...
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