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Pascal Peter

2 accepted papers

2024

Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields

ICML 2024poster

Deep learning has revolutionized the field of computer vision by introducing large scale neural networks with millions of parameters. Training these networks requires massive datasets and leads to intransparent models that can fail to generalize. At the other extreme, models designed from partial di…

Cited by 1SourcePDFScholar
2020

Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting

ICASSP 2020accepted

In spite of the fact that efficient compression methods for dense two-dimensional flow fields would be very useful for modern video codecs, hardly any research has been performed in this area so far. Our paper addresses this problem by proposing the first lossy diffusion-based codec for this purpose…

Cited by 0SourceScholar