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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GANet
Nov. 1, 2022, 2 p.m. — Public
đŸ’¡ submitted by spring team | F. Zhang, V. Prisacariu, R. Yang, and P. HS Torr. "GA-Net: Guided Aggregation Net for End-to-end Stereo Matching." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Code: https://github.com/feihuzhang/GANet
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+
23.225
22.912
42.064
20.976
67.878
18.418
96.274
24.286
16.427
41.499
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+
4.594
4.568
6.154
3.472
26.859
2.588
35.081
7.253
2.009
7.265
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+
10.393
10.313
15.229
8.483
48.317
7.769
50.272
12.022
6.854
17.867
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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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