An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation. - Lukas Mehl; Cedric Beschle; Andrea Barth; Andrés Bruhn (SSVM, 2021)

Multi-Scale Raft: Combining Hierarchical Concepts for Learning-Based Optical Flow Estimation. - Azin Jahedi; Lukas Mehl; Marc Rivinius; Andrés Bruhn (ICIP, 2022)

Attacking Motion Estimation with Adversarial Snow. - Jenny Schmalfuss; Lukas Mehl; Andrés Bruhn (CoRR, 2022)

High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022). - Azin Jahedi; Maximilian Luz; Lukas Mehl; Marc Rivinius; Andrés Bruhn (CoRR, 2022)

Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation. - Lukas Mehl; Cedric Beschle; Andrea Barth; Andrés Bruhn (DaRUS, 2022)

Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation. - Lukas Mehl; Cedric Beschle; Andrea Barth; Andrés Bruhn (DaRUS, 2022)

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. - Lukas Mehl; Jenny Schmalfuss; Azin Jahedi; Yaroslava Nalivayko; Andrés Bruhn (CVPR, 2023)

Distracting Downpour: Adversarial Weather Attacks for Motion Estimation. - Jenny Schmalfuss; Lukas Mehl; Andrés Bruhn (ICCV, 2023)

M-FUSE: Multi-frame Fusion for Scene Flow Estimation. - Lukas Mehl; Azin Jahedi; Jenny Schmalfuss; Andrés Bruhn (WACV, 2023)

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. - Lukas Mehl; Jenny Schmalfuss; Azin Jahedi; Yaroslava Nalivayko; Andrés Bruhn (DaRUS, 2023)

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo. - Lukas Mehl; Jenny Schmalfuss; Azin Jahedi; Yaroslava Nalivayko; Andrés Bruhn (DaRUS, 2023)

Distracting Downpour - Adversarial Weather Attacks for Motion Estimation (Replication Data). - Jenny Schmalfuss; Lukas Mehl; Andrés Bruhn (DaRUS, 2023)

Stereo Conversion with Disparity-Aware Warping, Compositing and Inpainting. - Lukas Mehl; Andrés Bruhn; Markus Gross 001; Christopher Schroers (WACV, 2024)

MS-RAFT+: High Resolution Multi-Scale RAFT. - Azin Jahedi; Maximilian Luz; Marc Rivinius; Lukas Mehl; Andrés Bruhn (Int. J. Comput. Vis., 2024)

High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion. - Xiang Zhang; Yang Zhang; Lukas Mehl; Markus Gross; Christopher Schroers (CoRR, 2025)

RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo. - Jenny Schmalfuss; Victor Oei; Lukas Mehl; Madlen Bartsch; Shashank Agnihotri; Margret Keuper; Andrés Bruhn (CoRR, 2025)