Self-supervised Learning for Single View Depth and Surface Normal Estimation

1 March 2019

Papers citing "Self-supervised Learning for Single View Depth and Surface Normal Estimation"

10 / 10 papers shown

Title
CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose Fei Wang Jun Cheng Penglei Liu SSL 31 4 0 12 Dec 2022
Revisiting PatchMatch Multi-View Stereo for Urban 3D Reconstruction M. Orsingher P. Zani P. Medici Massimo Bertozzi 3DV 32 5 0 18 Jul 2022
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels Vitor Campagnolo Guizilini Kuan-Hui Lee Rares Andrei Ambrus Adrien Gaidon SSL 3DPC MDE 41 44 0 28 Mar 2022
DeepShadow: Neural Shape from Shadow A. Karnieli Ohad Fried Y. Hel-Or 24 8 0 28 Mar 2022
Self-Supervised Depth Completion for Active Stereo Frederik Warburg Daniel Hernandez-Juarez J. Tarrio Alexander Vakhitov Ujwal D. Bonde P. Alcantarilla 3DV MDE 26 5 0 07 Oct 2021
DF-VO: What Should Be Learnt for Visual Odometry? Huangying Zhan C. Weerasekera Jiawang Bian Ravi Garg Ian Reid 23 34 0 01 Mar 2021
Surface Normal Estimation of Tilted Images via Spatial Rectifier Tien Do Khiem Vuong S. Roumeliotis H. Park 24 42 0 17 Jul 2020
Auto-Rectify Network for Unsupervised Indoor Depth Estimation Jiawang Bian Huangying Zhan Naiyan Wang Tat-Jun Chin Chunhua Shen Ian Reid SSL MDE 29 57 0 04 Jun 2020
PixelNet: Towards a General Pixel-level Architecture Aayush Bansal Xinlei Chen Bryan C. Russell Abhinav Gupta Deva Ramanan SSeg 210 58 0 21 Sep 2016
Designing Deep Networks for Surface Normal Estimation Xinyu Wang David Fouhey Abhinav Gupta 3DV SSL 167 353 0 18 Nov 2014