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Learning-based multi-view stereo (MVS) methods have made impressive progress and surpassed traditional methods in recent years.
“Large-scale data for multiple-view stereopsis,”
Henrik Aanæs, Rasmus Ramsbøl Jensen, George Vogiatzis, Engin Tola, and Anders Bjorholm Dahl, · 2016
Earlier work this paper cites.
“Pixelwise view selection for unstructured multi-view stereo,”
Johannes L Schönberger, Enliang Zheng, Jan-Michael Frahm, and Marc Pollefeys, · 2016
Earlier work this paper cites.
“Tanks and temples: Benchmarking large-scale scene reconstruction,”
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun, · 2017
Earlier work this paper cites.
“Feature pyramid networks for object detection,”
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie, · 2017
Earlier work this paper cites.
“Mvsnet: Depth inference for unstructured multi-view stereo,”
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan, · 2018
Earlier work this paper cites.
“Recurrent mvsnet for high-resolution multi-view stereo depth inference,”
Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, and Long Quan, · 2019
Earlier work this paper cites.
“Point-based multi-view stereo network,”
Rui Chen, Songfang Han, Jing Xu, and Hao Su, · 2019
Earlier work this paper cites.
“Multi-scale geometric consistency guided multi-view stereo,”
Qingshan Xu and Wenbing Tao, · 2019
Earlier work this paper cites.
“Blendedmvs: A large-scale dataset for generalized multi-view stereo networks,”
Yao Yao, Zixin Luo, Shiwei Li, Jingyang Zhang, Yufan Ren, Lei Zhou, Tian Fang, and Long Quan, · 2020
Cited alongside, same era.
“Cascade cost volume for high-resolution multi-view stereo and stereo matching,”
Xiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Feitong Tan, and Ping Tan, · 2020
Cited alongside, same era.
“Visibility-aware multi-view stereo network,”
Jingyang Zhang, Yao Yao, Shiwei Li, Zixin Luo, and Tian Fang, · 2020
Cited alongside, same era.
“Dense hybrid recurrent multi-view stereo net with dynamic consistency checking,”
Jianfeng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, and Yu-Wing Tai, · 2020
Cited alongside, same era.
“Improved baselines with momentum contrastive learning,”
Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He, · 2020
Cited alongside, same era.
“Attention-aware multi-view stereo,”
Keyang Luo, Tao Guan, Lili Ju, Yuesong Wang, Zhuo Chen, and Yawei Luo, · 2020
Later among the works it cites.
“Cost volume pyramid based depth inference for multi-view stereo,”
Jiayu Yang, Wei Mao, Jose M Alvarez, and Miaomiao Liu, · 2020
Later among the works it cites.
“Aa-rmvsnet: Adaptive aggregation recurrent multi-view stereo network,”
Zizhuang Wei, Qingtian Zhu, Chen Min, Yisong Chen, and Guoping Wang, · 2021
Later among the works it cites.
“Epp-mvsnet: Epipolar-assembling based depth prediction for multi-view stereo,”
Xinjun Ma, Yue Gong, Qirui Wang, Jingwei Huang, Lei Chen, and Fan Yu, · 2021
Later among the works it cites.
“Patchmatchnet: Learned multi-view patchmatch stereo,”
Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, and Marc Pollefeys, · 2021
Later among the works it cites.
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“A simple framework for contrastive learning of visual representations,”
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton, · 2020
Cited alongside, same era.
“Deep stereo using adaptive thin volume representation with uncertainty awareness,”
Shuo Cheng, Zexiang Xu, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, and Hao Su, · 2020
Cited alongside, same era.
“Deepc-mvs: Deep confidence prediction for multi-view stereo reconstruction,”
Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, and Friedrich Fraundorfer, · 2020
Cited alongside, same era.
François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, and Mathieu Aubry, · 2021
Later among the works it cites.
“Transmvsnet: Global context-aware multi-view stereo network with transformers,”
Yikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, and Xiao Liu, · 2022
Closest in time.
“Wt-mvsnet: Window-based transformers for multi-view stereo,”
Jinli Liao, Yikang Ding, Yoli Shavit, Dihe Huang, Shihao Ren, Jia Guo, Wensen Feng, and Kai Zhang, · 2022
Closest in time.