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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.
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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