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What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
19 January 2018
N. Mayer
Eddy Ilg
Philipp Fischer
C. Hazirbas
Zorah Lähner
Alexey Dosovitskiy
Thomas Brox
OOD
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Papers citing
"What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?"
50 / 76 papers shown
What Makes Good Synthetic Training Data for Zero-Shot Stereo Matching?
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BlinkTrack: Feature Tracking over 80 FPS via Events and Images
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Yijin Li
Shuo Chen
Guanglin Li
Zhaoyang Huang
Hujun Bao
Zhaopeng Cui
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238
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LRM-Zero: Training Large Reconstruction Models with Synthesized Data
Desai Xie
Sai Bi
Zhixin Shu
Kai Zhang
Zexiang Xu
Yi Zhou
Soren Pirk
Arie E. Kaufman
Xin Sun
Hao Tan
SyDa
374
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13 Jun 2024
Incremental Joint Learning of Depth, Pose and Implicit Scene Representation on Monocular Camera in Large-scale Scenes
Tianchen Deng
Nailin Wang
Chongdi Wang
Shenghai Yuan
Jingchuan Wang
Hesheng Wang
Danwei W. Wang
Weidong Chen
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09 Apr 2024
A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis
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Nicola Garau
Antonio Luigi Stefani
Nicola Conci
159
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05 Dec 2023
Proceedings of the 5th International Workshop on Reading Music Systems
Jorge Calvo-Zaragoza
Alexander Pacha
Elona Shatri
165
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07 Nov 2023
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation
Muhammad Osama Khan
Junbang Liang
Chun-Kai Wang
Shan Yang
Yu Lou
MDE
275
4
0
06 Oct 2023
The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation
The Visual Computer (TVC), 2023
Byung-Ki Kwon
Kim Sung-Bin
Tae-Hyun Oh
194
1
0
14 Aug 2023
Data and Knowledge for Overtaking Scenarios in Autonomous Driving
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M. Pinto
I. Dutra
Joaquim Fonseca
184
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30 May 2023
Unsupervised Learning Optical Flow in Multi-frame Dynamic Environment Using Temporal Dynamic Modeling
Zitang Sun
Shinýa Nishida
Zhengbo Luo
204
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14 Apr 2023
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium
Computer Vision and Pattern Recognition (CVPR), 2023
Antyanta Bangunharcana
A. Magd
Kyung-soo Kim
MDE
452
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0
07 Apr 2023
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks
Computer Vision and Pattern Recognition (CVPR), 2023
Hyunjun Jung
Patrick Ruhkamp
Guangyao Zhai
Nikolas Brasch
Yitong Li
...
Anil Armagan
Slobodan Ilic
A. Leonardis
Nassir Navab
Benjamin Busam
3DH
3DV
206
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0
26 Mar 2023
OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment
Saghir Alfasly
Zaid Al-Huda
Saifullahi Aminu Bello
Ahmed Elazab
Jian Lu
C. Xu
198
1
0
01 Mar 2023
Self-supervised AutoFlow
Computer Vision and Pattern Recognition (CVPR), 2022
Hsin-Ping Huang
Charles Herrmann
Junhwa Hur
Erika Lu
Kyle Sargent
Austin Stone
Ming-Hsuan Yang
Deqing Sun
363
11
0
04 Dec 2022
Proceedings of the 4th International Workshop on Reading Music Systems
Jorge Calvo-Zaragoza
Alexander Pacha
Elona Shatri
179
0
0
23 Nov 2022
MDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge Distillation
Lingtong Kong
J. Yang
280
32
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11 Nov 2022
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments
European Conference on Computer Vision (ECCV), 2022
Shubham Dokania
A. Subramanian
Manmohan Chandraker
C. V. Jawahar
172
6
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16 Aug 2022
RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos
European Conference on Computer Vision (ECCV), 2022
Yunhui Han
Kunming Luo
Ao Luo
Jiangyu Liu
Haoqiang Fan
G. Luo
Shuaicheng Liu
285
32
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22 Jul 2022
Semi-Supervised Learning of Optical Flow by Flow Supervisor
European Conference on Computer Vision (ECCV), 2022
Woobin Im
Sebin Lee
Sung-eui Yoon
224
12
0
21 Jul 2022
WHU-Stereo: A Challenging Benchmark for Stereo Matching of High-Resolution Satellite Images
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Shenhong Li
Sheng-Fang He
San Jiang
Wanshou Jiang
Lin Zhang
229
31
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06 Jun 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
302
17
0
09 May 2022
CroMo: Cross-Modal Learning for Monocular Depth Estimation
Computer Vision and Pattern Recognition (CVPR), 2022
Yannick Verdié
Jifei Song
Barnabé Mas
Benjamin Busam
Alevs Leonardis
Jingyu Sun
MDE
396
19
0
23 Mar 2022
Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
Computer Vision and Pattern Recognition (CVPR), 2022
Jiankun Li
Peisen Wang
Pengfei Xiong
Tao Cai
Zi-Ping Yan
Lei Yang
Jiangyu Liu
Haoqiang Fan
Shuaicheng Liu
3DV
361
366
0
22 Mar 2022
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments
International Conferences on Pattern Recognition and Artificial Intelligence (ICCPRAI), 2022
Christian Homeyer
Oliver Lange
Christoph Schnörr
MDE
268
4
0
21 Jan 2022
Improving Depth Estimation using Location Information
International Conference on Communication and Electronics Systems (ICCES), 2021
A. Zaitoon
H. A. E. Munim
H. Abbas
MDE
229
1
0
27 Dec 2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Yu Wang
Yuying Zhao
Neil Shah
Hanyu Wang
385
69
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01 Dec 2021
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters
Sai Shyam Chanduri
Zeeshan Khan Suri
Igor Vozniak
Christian Müller
MDE
317
13
0
27 Oct 2021
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image
IEEE International Conference on Computer Vision (ICCV), 2021
Shumian Xin
Neal Wadhwa
Tianfan Xue
Jonathan T. Barron
Pratul P. Srinivasan
Jiawen Chen
Ioannis Gkioulekas
Rahul Garg
278
46
0
12 Oct 2021
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
Matteo Fabbri
Guillem Brasó
Gianluca Maugeri
Orcun Cetintas
Riccardo Gasparini
Aljosa Osep
Simone Calderara
Laura Leal-Taixe
Rita Cucchiara
ViT
297
128
0
21 Aug 2021
DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation
Jake Deane
Sinéad Kearney
K. Kim
Darren Cosker
MedIm
263
8
0
15 Jul 2021
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
Conference on Robot Learning (CoRL), 2021
Thomas Kollar
Michael Laskey
Kevin Stone
Brijen Thananjeyan
Mark Tjersland
278
30
0
30 Jun 2021
Learning to See by Looking at Noise
Neural Information Processing Systems (NeurIPS), 2021
Manel Baradad
Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
465
115
0
10 Jun 2021
BIM Hyperreality: Data Synthesis Using BIM and Hyperrealistic Rendering for Deep Learning
Mohammad Alawadhi
Wei Yan
AI4CE
120
6
0
10 May 2021
AutoFlow: Learning a Better Training Set for Optical Flow
Computer Vision and Pattern Recognition (CVPR), 2021
Deqing Sun
Daniel Vlasic
Charles Herrmann
Varun Jampani
Michael Krainin
Huiwen Chang
Ramin Zabih
William T. Freeman
Ce Liu
3DPC
283
131
0
29 Apr 2021
H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry
Baoru Huang
Jian-Qing Zheng
Stamatia Giannarou
Daniel Elson
MDE
203
24
0
22 Apr 2021
H-GAN: the power of GANs in your Hands
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Sergiu Oprea
Giorgos Karvounas
P. Martinez-Gonzalez
Nikolaos Kyriazis
S. Orts-Escolano
Iason Oikonomidis
A. Garcia-Garcia
Aggeliki Tsoli
Jose Garcia-Rodriguez
Antonis Argyros
227
5
0
27 Mar 2021
Neural Networks for Semantic Gaze Analysis in XR Settings
Lena Stubbemann
Dominik Dürrschnabel
R. Refflinghaus
134
6
0
18 Mar 2021
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
European Conference on Computer Vision (ECCV), 2021
Christian Tomani
Zorah Lähner
Florian Buettner
UQCV
278
55
0
24 Feb 2021
LEAD: LiDAR Extender for Autonomous Driving
CAAI International Conference on Artificial Intelligence (CAAI-ICAI), 2021
Jianing Zhang
Wei Li
Honggang Gou
Lu Fang
Ruigang Yang
178
2
0
16 Feb 2021
Semi-synthesis: A fast way to produce effective datasets for stereo matching
Ju He
Enyu Zhou
Liusheng Sun
Fei Lei
Chenyang Liu
Wenxiu Sun
3DV
208
13
0
26 Jan 2021
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions
René Schuster
C. Unger
D. Stricker
319
13
0
03 Nov 2020
Learned Dual-View Reflection Removal
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Simon Niklaus
X. Zhang
Jonathan T. Barron
Neal Wadhwa
Rahul Garg
Feng Liu
Tianfan Xue
296
24
0
01 Oct 2020
Ethical behavior in humans and machines -- Evaluating training data quality for beneficial machine learning
Minds and Machines (MM), 2020
Thilo Hagendorff
194
36
0
26 Aug 2020
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi
Xiangtong Wang
Binbin Liang
Menglong Yang
W. Li
276
0
0
19 Aug 2020
Self-Supervised Learning for Monocular Depth Estimation from Aerial Imagery
M. Hermann
Boitumelo Ruf
M. Weinmann
Stefan Hinz
SSL
MDE
258
14
0
17 Aug 2020
Learning Stereo from Single Images
Jamie Watson
Oisin Mac Aodha
Daniyar Turmukhambetov
Gabriel J. Brostow
Michael Firman
361
75
0
04 Aug 2020
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
A. L. Rodríguez
Benjamin Busam
K. Mikolajczyk
370
50
0
03 Aug 2020
What Matters in Unsupervised Optical Flow
Rico Jonschkowski
Austin Stone
Jonathan T. Barron
A. Gordon
K. Konolige
A. Angelova
3DPC
331
214
0
08 Jun 2020
RarePlanes: Synthetic Data Takes Flight
Jacob Shermeyer
T. Hossler
A. V. Etten
Daniel Hogan
Ryan Lewis
Daeil Kim
299
134
0
04 Jun 2020
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
D. D. Jong
Federico Paredes-Valles
Guido de Croon
311
9
0
20 Apr 2020
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