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Stereo matching is a fundamental task in scene comprehension.
Stereo matching using belief propagation
Jian Sun, Nan-Ning Zheng, and Heung-Yeung Shum · 2003
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Stereo processing by semiglobal matching and mutual information
Heiko Hirschmuller · 2007
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Cross-based local stereo matching using orthogonal integral images
Ke Zhang, Jiangbo Lu, and Gauthier Lafruit · 2009
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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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Joint 3d estimation of vehicles and scene flow
Moritz Menze, Christian Heipke, 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 Hausser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, and Thomas Brox · 2016
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Stereo matching by training a convolutional neural network to compare image patches
Jure Zbontar, Yann LeCun, et al · 2016
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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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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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A multi-view stereo benchmark with high-resolution images and multi-camera videos
Thomas Schops, Johannes L Schonberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and Andreas Geiger · 2017
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Sgm-nets: Semi-global matching with neural networks
Akihito Seki and Marc Pollefeys · 2017
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Pyramid stereo matching network
Jia-Ren Chang and Yong-Sheng Chen · 2018
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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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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Ga-net: Guided aggregation net for end-to-end stereo matching
Feihu Zhang, Victor Prisacariu, Ruigang Yang, and Philip HS Torr · 2019
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Instereo2k: a large real dataset for stereo matching in indoor scenes
Wei Bao, Wei Wang, Yuhua Xu, Yulan Guo, Siyu Hong, and Xiaohu Zhang · 2020
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Matching-space stereo networks for cross-domain generalization
Changjiang Cai, Matteo Poggi, Stefano Mattoccia, and Philippos Mordohai · 2020
Raft-stereo: Multilevel recurrent field transforms for stereo matching
Lahav Lipson, Zachary Teed, and Jia Deng · 2021
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Uasnet: Uncertainty adaptive sampling network for deep stereo matching
Yamin Mao, Zhihua Liu, Weiming Li, Yuchao Dai, Qiang Wang, Yun-Tae Kim, and Hong-Seok Lee · 2021
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Cfnet: Cascade and fused cost volume for robust stereo matching
Zhelun Shen, Yuchao Dai, and Zhibo Rao · 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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Region separable stereo matching
Junda Cheng, Xin Yang, Yuechuan Pu, and Peng Guo · 2022
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Practical stereo matching via cascaded recurrent network with adaptive correlation
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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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Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
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Aanet: Adaptive aggregation network for efficient stereo matching
Haofei Xu and Juyong Zhang · 2020
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Domain-invariant stereo matching networks
Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin Wah, and Philip Torr · 2020
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Correlate-and-excite: Real-time stereo matching via guided cost volume excitation
Antyanta Bangunharcana, Jae Won Cho, Seokju Lee, In So Kweon, Kyung-Soo Kim, and Soohyun Kim · 2021
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Learning to estimate hidden motions with global motion aggregation
Shihao Jiang, Dylan Campbell, Yao Lu, Hongdong Li, and Richard Hartley · 2021
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Jiankun Li, Peisen Wang, Pengfei Xiong, Tao Cai, Ziwei Yan, Lei Yang, Jiangyu Liu, Haoqiang Fan, and Shuaicheng Liu · 2022
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Pcw-net: Pyramid combination and warping cost volume for stereo matching
Zhelun Shen, Yuchao Dai, Xibin Song, Zhibo Rao, Dingfu Zhou, and Liangjun Zhang · 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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Non-parametric depth distribution modelling based depth inference for multi-view stereo
Jiayu Yang, Jose M Alvarez, and Miaomiao Liu · 2022
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Revisiting domain generalized stereo matching networks from a feature consistency perspective
Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, and Edwin R Hancock · 2022
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Coatrsnet: Fully exploiting convolution and attention for stereo matching by region separation
Junda Cheng, Gangwei Xu, Peng Guo, and Xin Yang · 2023
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