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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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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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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