Spring: L. Mehl, J. Schmalfuss, A. Jahedi, Y.
Nalivayko, A. Bruhn — University of Stuttgart
RobustSpring: V. Oei, J. Schmalfuss, L. Mehl, M.
Bartsch, S. Agnihotri, M. Keuper, A. Bulling, A. Bruhn — University of Stuttgart, University
of Mannheim, MPI for Informatics
Download
Stereo
Optical Flow
Scene Flow
Submit
FAQ
ACVNet
Nov. 1, 2022, 2 p.m. — Public
đŸ’¡ submitted by spring team | G. Xu, J. Cheng, P. Guo, and X. Yang. "Attention Concatenation Volume for Accurate and Efficient Stereo Matching." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Code: https://github.com/gangweiX/ACVNet
Stereo
1px
1px
1px
1px
1px
1px
1px
1px
1px
1px
14.772
14.432
35.273
12.600
57.894
11.163
69.621
18.386
11.346
18.145
Abs
Abs
Abs
Abs
Abs
Abs
Abs
Abs
Abs
Abs
1.516
1.483
3.506
0.938
13.002
1.144
7.170
1.852
1.183
1.873
D1
D1
D1
D1
D1
D1
D1
D1
D1
D1
5.346
5.266
10.178
3.804
35.948
4.586
16.895
5.618
5.310
4.938
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Error visualization color code
Lukas Mehl, Jenny Schmalfuss, Azin Jahedi, Yaroslava Nalivayko, Andrés Bruhn:"Spring: A
High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo ".In
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2023.
Victor Oei, Jenny Schmalfuss, Lukas Mehl, Madlen Bartsch, Shashank Agnihotri, Margret Keuper, Andreas
Bulling, Andrés Bruhn:"RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow,
Scene Flow and Stereo ".In The Fourteenth International Conference on Learning
Representations (ICLR) , 2026.
The Spring movie
assets by Blender Foundation are licensed under
CC BY 4.0 .
The authors thank Andy Goralczyk, Francesco Siddi and the whole Blender Studio team.
Lukas Mehl, Jenny Schmalfuss, and Victor Oei acknowledge funding by the Deutsche Forschungsgemeinschaft
(DFG, German Research Foundation) – Project-ID 251654672 –
TRR 161:
Quantitative Methods for Visual Computing (B04, A07).
Jenny Schmalfuss and Andres Bruhn acknowledge support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
– Project-ID 533085500 – Robust Optical Flow.
Shashank Agnihotri and Margret Keuper acknowledge support by the DFG Research Unit 5336 – Learning to Sense (L2S).
Finally, Jenny Schmalfuss, Azin Jahedi, and Victor Oei acknowledge support from the International Max Planck
Research School for Intelligent Systems (IMPRS-IS).
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