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RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo
May 14, 2025
Schmalfuss, Jenny; Oei, Victor; Mehl, Lukas; Bartsch, Madlen; Agnihotri, Shashank; Keuper, Margret; Bruhn, Andres, 2025, "RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo", https://doi.org/10.18419/DARUS-5047, DaRUS, V1
The RobustSpring dataset contains the image corruption data files for scene flow, optical flow and stereo estimation with the Spring dataset. Note that this repository contains only the Spring test data files. For easier handling, we organized them into sub-directories by image corruption type: brightness.zip : brightness image corruption contrast....
Distracting Downpour - Adversarial Weather Attacks for Motion Estimation (Replication Data)
Aug 16, 2023
Schmalfuss, Jenny; Mehl, Lukas; Bruhn, Andrés, 2023, "Distracting Downpour - Adversarial Weather Attacks for Motion Estimation (Replication Data)", https://doi.org/10.18419/DARUS-3677, DaRUS, V1
This dataset contains the generated weather configurations as png and npz files.
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
Jul 17, 2023
Mehl, Lukas; Schmalfuss, Jenny; Jahedi, Azin; Nalivayko, Yaroslava; Bruhn, Andrés, 2023, "Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo", https://doi.org/10.18419/DARUS-3376, DaRUS, V2
The Spring dataset contains files for scene flow, optical flow and stereo estimation. For easier handling, we organized them into sub-directories: train split: train_frame_left.zip: left camera frames train_frame_right.zip: right camera frames train_disp1_left.zip: left-to-right disparity in the reference frame train_disp1_right.zip: right-to-left...
Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation
Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation
Aug 31, 2022
Mehl, Lukas; Beschle, Cedric; Barth, Andrea; Bruhn, Andrés, 2022, "Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation", https://doi.org/10.18419/DARUS-2890, DaRUS, V1
Results of our proposed optical flow method on the Sintel and KITTI datasets. We provide the benchmark results before and after applying our refinement approach. Additionally, we provide a supplementary material to our paper with more details on the minimisation, the numerical solution and additional results. The data is structured as follows: The...
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