What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?

19 January 2018

Alexey Dosovitskiy

Thomas Brox

OOD

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Papers citing "What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?"

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Title
Self-supervised AutoFlow Hsin-Ping Huang Charles Herrmann Junhwa Hur Erika Lu Kyle Sargent Austin Stone Ming Yang Deqing Sun 22 8 0 04 Dec 2022
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments Shubham Dokania A. Subramanian Manmohan Chandraker C. V. Jawahar 24 6 0 16 Aug 2022
RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos Yunhui Han Kunming Luo Ao Luo Jiangyu Liu Haoqiang Fan G. Luo Shuaicheng Liu 9 23 0 22 Jul 2022
Semi-Supervised Learning of Optical Flow by Flow Supervisor Woobin Im Sebin Lee Sung-eui Yoon 13 11 0 21 Jul 2022
Is my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression Hyunjun Jung Patrick Ruhkamp Guangyao Zhai Nikolas Brasch Yitong Li ... Yiren Zhou Anil Armagan Slobodan Ilic A. Leonardis Benjamin Busam 3DV MDE 29 12 0 09 May 2022
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments Christian Homeyer Oliver Lange Christoph Schnörr MDE 13 3 0 21 Jan 2022
Imbalanced Graph Classification via Graph-of-Graph Neural Networks Yu-Chiang Frank Wang Yuying Zhao Neil Shah Tyler Derr 25 47 0 01 Dec 2021
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters Sai Shyam Chanduri Zeeshan Khan Suri Igor Vozniak Christian Müller MDE 21 12 0 27 Oct 2021
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image Shumian Xin Neal Wadhwa Tianfan Xue Jonathan T. Barron Pratul P. Srinivasan Jiawen Chen Ioannis Gkioulekas Rahul Garg 13 35 0 12 Oct 2021
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo Thomas Kollar Michael Laskey Kevin Stone Brijen Thananjeyan Mark Tjersland 35 25 0 30 Jun 2021
Learning to See by Looking at Noise Manel Baradad Jonas Wulff Tongzhou Wang Phillip Isola Antonio Torralba 18 89 0 10 Jun 2021
Learned Dual-View Reflection Removal Simon Niklaus X. Zhang Jonathan T. Barron Neal Wadhwa Rahul Garg Feng Liu Tianfan Xue 25 19 0 01 Oct 2020
Ethical behavior in humans and machines -- Evaluating training data quality for beneficial machine learning Thilo Hagendorff 13 26 0 26 Aug 2020
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data A. L. Rodríguez Benjamin Busam K. Mikolajczyk 18 44 0 03 Aug 2020
Synthetic Data for Deep Learning Sergey I. Nikolenko 44 348 0 25 Sep 2019
Leveraging synthetic imagery for collision-at-sea avoidance C. Ward Josh Harguess Alexander G. Corelli 25 5 0 13 May 2019
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching René Schuster Oliver Wasenmüller C. Unger D. Stricker 14 2 0 12 Apr 2019
Automatic Generation of Dense Non-rigid Optical Flow Hoàng-Ân Lê Tushar Nimbhorkar Thomas Mensink A. S. Baslamisli Sezer Karaoglu Theo Gevers 11 2 0 05 Dec 2018
Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data Aayush Prakash Shaad Boochoon M. Brophy David Acuna Eric Cameracci Gavriel State Omer Shapira Stan Birchfield 11 264 0 23 Oct 2018
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation Sudeep Pillai Rares Ambrus Adrien Gaidon SupR MDE 6 216 0 03 Oct 2018
Context-aware Synthesis for Video Frame Interpolation Simon Niklaus Feng Liu 31 405 0 29 Mar 2018