Lukas Mehl

Orcid: 0009-0001-0548-728X

According to our database¹, Lukas Mehl authored at least 20 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Guardians of the Hair: Rescuing Soft Boundaries in Depth, Stereo, and Novel Views.

[BibT_eX]

[DOI]

CoRR, January, 2026

2025

RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo.

[BibT_eX]

[DOI]

CoRR, May, 2025

RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo.

[BibT_eX]

[DOI]

Dataset, May, 2025

High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion.

[BibT_eX]

[DOI]

CoRR, February, 2025

Stereoscopic videos: data generation, image synthesis and motion analysis.

[BibT_eX]

[DOI]

Lukas Mehl

PhD thesis, 2025

High-Fidelity Novel View Synthesis via Splatting-Guided Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

2024

MS-RAFT+: High Resolution Multi-Scale RAFT.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., May, 2024

Stereo Conversion with Disparity-Aware Warping, Compositing and Inpainting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Distracting Downpour - Adversarial Weather Attacks for Motion Estimation (Replication Data).

[BibT_eX]

[DOI]

Jenny Schmalfuss

Lukas Mehl

Andrés Bruhn

Dataset, August, 2023

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo.

[BibT_eX]

[DOI]

Dataset, July, 2023

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo.

[BibT_eX]

[DOI]

Dataset, March, 2023

M-FUSE: Multi-frame Fusion for Scene Flow Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Distracting Downpour: Adversarial Weather Attacks for Motion Estimation.

[BibT_eX]

[DOI]

Jenny Schmalfuss

Lukas Mehl

Andrés Bruhn

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation.

[BibT_eX]

[DOI]

Dataset, August, 2022

Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation.

[BibT_eX]

[DOI]

Dataset, August, 2022

High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022).

[BibT_eX]

[DOI]

CoRR, 2022

Attacking Motion Estimation with Adversarial Snow.

[BibT_eX]

[DOI]

Jenny Schmalfuss

Lukas Mehl

Andrés Bruhn

CoRR, 2022

Multi-Scale Raft: Combining Hierarchical Concepts for Learning-Based Optical Flow Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

Lukas Mehl

Timeline

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Bibliography

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