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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LEAStereo
Nov. 1, 2022, 2 p.m. — Public
đŸ’¡ submitted by spring team | X. Cheng, Y. Zhong, M. Harandi, Y. Dai, X. Chang, H. Li, T. Drummond, and Z. Ge. "Hierarchical Neural Architecture Search for Deep Stereo Matching." In NeurIPS, 2020.
Code: https://github.com/XuelianCheng/LEAStereo
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+
19.888
19.547
40.396
17.611
65.086
16.735
67.805
19.076
13.861
39.412
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+
3.884
3.850
5.934
2.795
25.485
2.443
25.771
5.440
1.759
7.272
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+
9.194
9.116
13.884
7.321
46.378
7.417
36.191
9.609
6.293
17.062
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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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