4 citations · 12 across the 14 of their papers we have counts for
4 papers · 2 filters
Connecting Image Inpainting with Denoising in the Homogeneous Diffusion Setting
Daniel Gaa, Vassillen Chizhov, Pascal Peter +2
While local methods for image denoising and inpainting may use similar concepts, their connections have hardly been investigated so far. The goal of this work is to establish links…
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting
Karl Schrader, Pascal Peter, Niklas Kämper +1
With well-selected data, homogeneous diffusion inpainting can reconstruct images from sparse data with high quality. While 4K colour images of size 3840 x 2160 can already be inpai…
Generalised Scale-Space Properties for Probabilistic Diffusion Models
Pascal Peter
Probabilistic diffusion models enjoy increasing popularity in the deep learning community. They generate convincing samples from a learned distribution of input images with a wide…
Image Blending with Osmosis
Paul Bungert, Pascal Peter, Joachim Weickert
Image blending is an integral part of many multi-image applications such as panorama stitching or remote image acquisition processes. In such scenarios, multiple images are connect…