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Self-supervised depth learning from monocular images normally relies on the 2D pixel-wise photometric relation between temporally adjacent image frames.
The rendering equation
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Nelson Max · 1995
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Hailin Jin, Paolo Favaro, and Stefano Soatto · 2001
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Learning depth from single monocular images
Ashutosh Saxena, Sung H Chung, Andrew Y Ng, et al · 2005
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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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Indoor segmentation and support inference from rgbd images
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, and Rob Fergus · 2012
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Depth map prediction from a single image using a multi-scale deep network
David Eigen, Christian Puhrsch, and Rob Fergus · 2014
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
David Eigen and Rob Fergus · 2015
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Large-scale direct slam with stereo cameras
Jakob Engel, Jörg Stückler, and Daniel Cremers · 2015
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Unsupervised cnn for single view depth estimation: Geometry to the rescue
R. Garg, V. K. Bg, G. Carneiro, and I. Reid · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Direct sparse odometry
Jakob Engel, Vladlen Koltun, and Daniel Cremers · 2017
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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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Unsupervised learning of depth and ego-motion from video
Tinghui Zhou, Matthew Brown, Noah Snavely, and David G Lowe · 2017
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Learning depth from monocular videos using direct methods
Chaoyang Wang, José Miguel Buenaposada, Rui Zhu, and Simon Lucey · 2018
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Geonet: Unsupervised learning of dense depth, optical flow and camera pose
Zhichao Yin and Jianping Shi · 2018
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Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction
Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, and Ian Reid · 2018
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Unsupervised scale-consistent depth and ego-motion learning from monocular video
Jiawang Bian, Zhichao Li, Naiyan Wang, Huangying Zhan, Chunhua Shen, Ming-Ming Cheng, and Ian Reid · 2019
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Digging into self-supervised monocular depth estimation
Clément Godard, Oisin Mac Aodha, Michael Firman, and Gabriel J Brostow · 2019
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Depth from videos in the wild: Unsupervised monocular depth learning from unknown cameras
Ariel Gordon, Hanhan Li, Rico Jonschkowski, and Anelia Angelova · 2019
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A real-time interactive augmented reality depth estimation technique for surgical robotics
Megha Kalia, Nassir Navab, and Tim Salcudean · 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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Feature-metric loss for self-supervised learning of depth and egomotion
Chang Shu, Kun Yu, Zhixiang Duan, and Kuiyuan Yang · 2020
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Disp R-CNN: Stereo 3d object detection via shape prior guided instance disparity estimation
Jiaming Sun, Linghao Chen, Yiming Xie, Siyu Zhang, Qinhong Jiang, Xiaowei Zhou, and Hujun Bao · 2020
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D3vo: Deep depth, deep pose and deep uncertainty for monocular visual odometry
Nan Yang, Lukas von Stumberg, Rui Wang, and Daniel Cremers · 2020
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iNERF: Inverting neural radiance fields for pose estimation
Lin Yen-Chen, Pete Florence, Jonathan T Barron, Alberto Rodriguez, Phillip Isola, and Tsung-Yi Lin · 2020
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Data-driven microscopic pose and depth estimation for optical microrobot manipulation
Dandan Zhang, Frank P-W Lo, Jian-Qing Zheng, Wenjia Bai, Guang-Zhong Yang, and Benny Lo · 2020
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Pose graph optimization for unsupervised monocular visual odometry
Yang Li, Yoshitaka Ushiku, and Tatsuya Harada · 2019
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Every pixel counts++: Joint learning of geometry and motion with 3d holistic understanding
Chenxu Luo, Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia, and Alan Yuille · 2019
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Signet: Semantic instance aided unsupervised 3d geometry perception
Yue Meng, Yongxi Lu, Aman Raj, Samuel Sunarjo, Rui Guo, Tara Javidi, Gaurav Bansal, and Dinesh Bharadia · 2019
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Superdepth: Self-supervised, super-resolved monocular depth estimation
Sudeep Pillai, Rareş Ambruş, and Adrien Gaidon · 2019
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Unsupervised high-resolution depth learning from videos with dual networks
Junsheng Zhou, Yuwang Wang, Kaihuai Qin, and Wenjun Zeng · 2019
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Forget about the lidar: Self-supervised depth estimators with med probability volumes
Juan Luis GonzalezBello and Munchurl Kim · 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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Towards better generalization: Joint depth-pose learning without posenet
Wang Zhao, Shaohui Liu, Yezhi Shu, and Yong-Jin Liu · 2020
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The edge of depth: Explicit constraints between segmentation and depth
Shengjie Zhu, Garrick Brazil, and Xiaoming Liu · 2020
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Adabins: Depth estimation using adaptive bins
Shariq Farooq Bhat, Ibraheem Alhashim, and Peter Wonka · 2021
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Neural radiance flow for 4d view synthesis and video processing
Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B Tenenbaum, and Jiajun Wu · 2021
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Monoindoor: Towards good practice of self-supervised monocular depth estimation for indoor environments
Pan Ji, Runze Li, Bir Bhanu, and Yi Xu · 2021
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Neural scene flow fields for space-time view synthesis of dynamic scenes
Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang · 2021
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Excavating the potential capacity of self-supervised monocular depth estimation
Rui Peng, Ronggang Wang, Yawen Lai, Luyang Tang, and Yangang Cai · 2021
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D-nerf: Neural radiance fields for dynamic scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2021
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Categorical depth distribution network for monocular 3d object detection
Cody Reading, Ali Harakeh, Julia Chae, and Steven L Waslander · 2021
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Nerfingmvs: Guided optimization of neural radiance fields for indoor multi-view stereo
Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, and Jie Zhou · 2021
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R-MSFM: Recurrent multi-scale feature modulation for monocular depth estimating
Zhongkai Zhou, Xinnan Fan, Pengfei Shi, and Yuanxue Xin · 2021
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New crfs: Neural window fully-connected crfs for monocular depth estimation
Weihao Yuan, Xiaodong Gu, Zuozhuo Dai, Siyu Zhu, and Ping Tan · 2022
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