4 papers
Optimising Inpainting Data with Delaunay Averages
Vassillen Chizhov, Joachim Weickert
Inpainting-based image compression usually stores an optimised subset of all pixel locations and their colour values. In the decoding phase, the missing data are approximated via i…
Optimizing Multiple Feature Types for Image Inpainting in the Linear and Nonlinear Setting
Vassillen Chizhov, Ferdinand Jost, Joachim Weickert
Inpainting-based compression stores a carefully optimized subset of the full image data and reconstructs the missing data by inpainting. The quality of these lossy codecs depends d…
Image Compression with Isotropic and Anisotropic Shepard Inpainting
Rahul Mohideen Kaja Mohideen, Tobias Alt, Pascal Peter +1
Inpainting-based codecs store sparse selected pixel data and decode by reconstructing the discarded image parts by inpainting. Successful codecs (coders and decoders) traditionally…
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
Tom Fischer, Pascal Peter, Joachim Weickert +1
Deep learning has revolutionized the field of computer vision by introducing large scale neural networks with millions of parameters. Training these networks requires massive datas…