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
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Stereo
Optical Flow
Scene Flow
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RAFT-Stereo
Nov. 1, 2022, 2 p.m. — Public
đŸ’¡ submitted by spring team | L. Lipson, Z. Teed, and J. Deng. "RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching." In International Conference on 3D Vision (3DV), 2021.
Code: https://github.com/princeton-vl/RAFT-Stereo/
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+
15.273
14.983
32.774
13.394
52.582
9.924
96.571
22.588
10.018
17.086
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+
3.025
3.041
2.016
2.722
9.037
0.678
38.684
7.692
0.688
1.147
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+
8.626
8.647
7.318
7.400
32.966
3.670
83.934
17.763
4.686
3.055
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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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