Spring: L. Mehl, J. Schmalfuss, A. Jahedi, Y. Nalivayko, A. Bruhn — University of Stuttgart
RobustSpring: J. Schmalfuss, V. Oei, L. Mehl, M. Bartsch, S. Agnihotri, M. Keuper, A. Bruhn
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Optical Flow
Scene Flow
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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 total
1px low-detail
1px high-detail
1px matched
1px unmatched
1px not sky
1px sky
1px s0-10
1px s10-40
1px s40+
14.772
14.432
35.273
12.600
57.894
11.163
69.621
18.386
11.346
18.145
Abs total
Abs low-detail
Abs high-detail
Abs matched
Abs unmatched
Abs not sky
Abs sky
Abs s0-10
Abs s10-40
Abs s40+
1.516
1.483
3.506
0.938
13.002
1.144
7.170
1.852
1.183
1.873
D1 total
D1 low-detail
D1 high-detail
D1 matched
D1 unmatched
D1 not sky
D1 sky
D1 s0-10
D1 s10-40
D1 s40+
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.
Jenny Schmalfuss, Victor Oei, Lukas Mehl, Madlen Bartsch, Shashank Agnihotri, Margret Keuper, Andrés Bruhn:"RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo ".arXiv preprint arXiv:2505.09368, 2025
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 acknowledges funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 251654672 – TRR 161: Quantitative Methods for Visual Computing (B04). Jenny Schmalfuss and Azin Jahedi acknowledge support from the International Max Planck Research School for Intelligent Systems (IMPRS-IS).
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