Cost Volume Pyramid Based Depth Inference for Multi-View Stereo
Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu
2020Year
76Top-tier citations
Abstract
Ours Figure 1: Point clouds reconstructed by state-of-the-art methods [5, 43] and our CVP-MVSNet. Best viewed on screen.
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Install the CLIlune papers fulltext 203b55c6-ef56-406c-9ca8-33595ee143f0Cited by top-tier papers76
- Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with TransformersZhaoshuo Li, Xingtong Liu, Nathan Drenkow, Andy S. Ding et al.ICCV 2021 · 380 citations
- DUSt3R: Geometric 3D Vision Made EasyShuzhe Wang, Vincent Leroy, Yohann Cabon, Boris Chidlovskii et al.CVPR 2024 · 302 citations
- TransMVSNet: Global Context-aware Multi-view Stereo Network with TransformersYikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang et al.CVPR 2022 · 236 citations
- AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo NetworkZizhuang Wei, Qingtian Zhu, Chen Min, Yisong Chen et al.ICCV 2021 · 193 citations
- Rethinking Depth Estimation for Multi-View Stereo: A Unified RepresentationRui Peng, Rongjie Wang, Zhenyu Wang, Yawen Lai et al.CVPR 2022 · 159 citations
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