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Multi-camera setups find widespread use across various applications, such as autonomous driving, as they greatly expand sensing capabilities.
Using multiple hypotheses to improve depth-maps for multi-view stereo
Neill DF Campbell, George Vogiatzis, Carlos Hernández, and Roberto Cipolla · 2008
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Accurate, dense, and robust multiview stereopsis
Yasutaka Furukawa and Jean Ponce · 2009
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Patchmatch stereo-stereo matching with slanted support windows
Michael Bleyer, Christoph Rhemann, and Carsten Rother · 2011
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Multi-view stereo: A tutorial
Yasutaka Furukawa, Carlos Hernández, et al · 2015
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Pixelwise view selection for unstructured multi-view stereo
Johannes L Schönberger, Enliang Zheng, Jan-Michael Frahm, and Marc Pollefeys · 2016
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Superpoint: Self-supervised interest point detection and description
Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2018
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Atlasnet: Multi-atlas non-linear deep networks for medical image segmentation
Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, Rafael Marini, Evangelia I Zacharaki, M-P Revel, and Nikos Paragios · 2018
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Mvsnet: Depth inference for unstructured multi-view stereo
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Point-based multi-view stereo network
Rui Chen, Songfang Han, Jing Xu, and Hao Su · 2019
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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3d packing for self-supervised monocular depth estimation
Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, and Adrien Gaidon · 2020
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Occlusion-aware depth estimation with adaptive normal constraints
Xiaoxiao Long, Lingjie Liu, Christian Theobalt, and Wenping Wang · 2020
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Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, et al · 2020
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Nerf++: Analyzing and improving neural radiance fields
Kai Zhang, Gernot Riegler, Noah Snavely, and Vladlen Koltun · 2020
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
Jonathan T Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P Srinivasan · 2021
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Self-calibrating neural radiance fields
Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Anima Anandkumar, Minsu Cho, and Jaesik Park · 2021
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Barf: Bundle-adjusting neural radiance fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, and Simon Lucey · 2021
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Multi-view depth estimation using epipolar spatio-temporal networks
Xiaoxiao Long, Lingjie Liu, Wei Li, Christian Theobalt, and Wenping Wang · 2021
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Nerf in the wild: Neural radiance fields for unconstrained photo collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi SM Sajjadi, Jonathan T Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
Cited alongside, same era.
Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
Cited alongside, same era.
Nerf–: Neural radiance fields without known camera parameters
Sinerf: Sinusoidal neural radiance fields for joint pose estimation and scene reconstruction
Yitong Xia, Hao Tang, Radu Timofte, and Luc Van Gool · 2022
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The devil is in the labels: Semantic segmentation from sentences
Wei Yin, Yifan Liu, Chunhua Shen, Anton van den Hengel, and Baichuan Sun · 2022
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Zip-nerf: Anti-aliased grid-based neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2023
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Cvrecon: Rethinking 3d geometric feature learning for neural reconstruction
Ziyue Feng, Leon Yang, Pengsheng Guo, and Bing Li · 2023
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Mc-nerf: Muti-camera neural radiance fields for muti-camera image acquisition systems
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Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, and Victor Adrian Prisacariu · 2021
Cited alongside, same era.
Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2022
Cited alongside, same era.
Depth-supervised nerf: Fewer views and faster training for free
Kangle Deng, Andrew Liu, Jun-Yan Zhu, and Deva Ramanan · 2022
Cited alongside, same era.
Panoptic nerf: 3d-to-2d label transfer for panoptic urban scene segmentation
Xiao Fu, Shangzhan Zhang, Tianrun Chen, Yichong Lu, Lanyun Zhu, Xiaowei Zhou, Andreas Geiger, and Yiyi Liao · 2022
Cited alongside, same era.
Multiview stereo with cascaded epipolar raft
Zeyu Ma, Zachary Teed, and Jia Deng · 2022
Cited alongside, same era.
Waymo open dataset: Panoramic video panoptic segmentation
Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen, and Henrik Kretzschmar · 2022
Cited alongside, same era.
Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
Cited alongside, same era.
Yu Gao, Lutong Su, Hao Liang, Yufeng Yue, Yi Yang, and Mengyin Fu · 2023
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Zipnerf-pytorch, 2023
Chun Gu · 2023
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Nerf-ms: Neural radiance fields with multi-sequence
Peihao Li, Shaohui Wang, Chen Yang, Bingbing Liu, Weichao Qiu, and Haoqian Wang · 2023
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Va-depthnet: A variational approach to single image depth prediction
Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, and Luc Van Gool · 2023
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Standing between past and future: Spatio-temporal modeling for multi-camera 3d multi-object tracking
Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, and Yu-Xiong Wang · 2023
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Nerf-supervised deep stereo
Fabio Tosi, Alessio Tonioni, Daniele De Gregorio, and Matteo Poggi · 2023
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Sparf: Neural radiance fields from sparse and noisy poses
Prune Truong, Marie-Julie Rakotosaona, Fabian Manhardt, and Federico Tombari · 2023
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Suds: Scalable urban dynamic scenes
Haithem Turki, Jason Y Zhang, Francesco Ferroni, and Deva Ramanan · 2023
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S-nerf: Neural radiance fields for street views
Ziyang Xie, Junge Zhang, Wenye Li, Feihu Zhang, and Li Zhang · 2023
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Unisim: A neural closed-loop sensor simulator
Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, and Raquel Urtasun · 2023
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Nerflets: Local radiance fields for efficient structure-aware 3d scene representation from 2d supervision
Xiaoshuai Zhang, Abhijit Kundu, Thomas Funkhouser, Leonidas Guibas, Hao Su, and Kyle Genova · 2023
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