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Stereo matching plays a crucial role in 3D perception and scenario understanding.
Adaptive unimodal cost volume filtering for deep stereo matching
Youmin Zhang, Yimin Chen, Xiao Bai, Jun Zhou, Kun Yu, Zhiwei Li, and Kuiyuan Yang · 1909
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A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
D. Scharstein, R. Szeliski, and R. Zabih · 2001
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Object scene flow for autonomous vehicles
Moritz Menze and Andreas Geiger · 2015
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A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, and Thomas Brox · 2016
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Unsupervised monocular depth estimation with left-right consistency
Clément Godard, Oisin Mac Aodha, and Gabriel J. Brostow · 2017
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End-to-end learning of geometry and context for deep stereo regression
Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta, Peter Henry, Ryan Kennedy, Abraham Bachrach, and Adam Bry · 2017
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End-to-end learning of geometry and context for deep stereo regression
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Pyramid stereo matching network
Jia-Ren Chang and Yong-Sheng Chen · 2018
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Learning for disparity estimation through feature constancy
Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, and Jianfeng Zhang · 2018
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Sparse cost volume for efficient stereo matching
Chuanhua Lu, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, and Rin-ichiro Taniguchi · 2018
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Deeppruner: Learning efficient stereo matching via differentiable patchmatch
Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, and Raquel Urtasun · 2019
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Group-wise correlation stereo network
Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, and Hongsheng Li · 2019
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From big to small: Multi-scale local planar guidance for monocular depth estimation
Jin Han Lee, Myung-Kyu Han, Dong Wook Ko, and Il Hong Suh · 2019
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Edgestereo: A context integrated residual pyramid network for stereo matching
Xiao Song, Xu Zhao, Hanwen Hu, and Liangji Fang · 2019
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Mingxing Tan and Quoc Le · 2019
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Real-time self-adaptive deep stereo
Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, and Luigi Di Stefano · 2019
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Hierarchical neural architecture search for deep stereo matching
Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, and Zongyuan Ge · 2020
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Monocular depth estimation using laplacian pyramid-based depth residuals
M. Song, S. Lim, and W. Kim · 2021
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Hitnet: Hierarchical iterative tile refinement network for real-time stereo matching
Vladimir Tankovich, Christian Hane, Yinda Zhang, Adarsh Kowdle, Sean Fanello, and Sofien Bouaziz · 2021
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Context-enhanced stereo transformer
Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H Taylor, Mathias Unberath, Alan Yuille, and Yingwei Li · 2022
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A survey on deep learning techniques for stereo-based depth estimation
Hamid Laga, Laurent Valentin Jospin, Farid Boussaid, and Mohammed Bennamoun · 2022
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Area-based correlation and non-local attention network for stereo matching
Xing Li, Yangyu Fan, Guoyun Lv, and Haoyue Ma · 2022
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A survey of transformers
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Haofei Xu and Juyong Zhang · 2020
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Cost volume pyramid based depth inference for multi-view stereo
Jiayu Yang, Wei Mao, Jose M. Alvarez, and Miaomiao Liu · 2020
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Cost affinity learning network for stereo matching
Shenglun Chen, Baopu Li, Wei Wang, Hong Zhang, Haojie Li, and Zhihui Wang · 2021
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Adabins: Depth estimation using adaptive bins
Shariq Farooq Bhat, Ibraheem Alhashim, and Peter Wonka · 2021
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Revisiting stereo depth estimation from a sequence-to-sequence perspective with transformers
Zhaoshuo Li, Xingtong Liu, Nathan Drenkow, Andy Ding, Francis X. Creighton, Russell H. Taylor, and Mathias Unberath · 2021
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Raft-stereo: Multilevel recurrent field transforms for stereo matching
Lahav Lipson, Zachary Teed, and Jia Deng · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Tianyang Lin, Yuxin Wang, Xiangyang Liu, and Xipeng Qiu · 2022
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On the confidence of stereo matching in a deep-learning era: A quantitative evaluation
Matteo Poggi, Seungryong Kim, Fabio Tosi, Sunok Kim, Filippo Aleotti, Dongbo Min, Kwanghoon Sohn, and Stefano Mattoccia · 2022
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A confidence-aware cascade network for multi-scale stereo matching of very-high-resolution remote sensing images
Rongshu Tao, Yuming Xiang, and Hongjian You · 2022
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Attention concatenation volume for accurate and efficient stereo matching
Gangwei Xu, Junda Cheng, Peng Guo, and Xin Yang · 2022
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Elfnet: Evidential local-global fusion for stereo matching
Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, and Jun Cheng · 2023
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idisc: Internal discretization for monocular depth estimation
Luigi Piccinelli, Christos Sakaridis, and Fisher Yu · 2023
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Iterative geometry encoding volume for stereo matching
Gangwei Xu, Xianqi Wang, Xiaohuan Ding, and Xin Yang · 2023
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