no code implementations • 12 Jan 2024 • Niklas Kämper, Vassillen Chizhov, Joachim Weickert
Homogeneous diffusion inpainting can reconstruct missing image areas with high quality from a sparse subset of known pixels, provided that their location as well as their gray or color values are well optimized.
no code implementations • 12 Jan 2024 • Niklas Kämper, Vassillen Chizhov, Joachim Weickert
However, a major challenge has been to design fast solvers for homogeneous diffusion inpainting that scale to 4K image resolution ($3840 \times 2160$ pixels) and are real-time capable.
no code implementations • 23 Sep 2023 • Daniel Gaa, Vassillen Chizhov, Pascal Peter, Joachim Weickert, Robin Dirk Adam
In contrast to traditional denoising methods that adapt the operator to the data, our approach adapts the data to the operator.
no code implementations • 26 Oct 2022 • Ferdinand Jost, Vassillen Chizhov, Joachim Weickert
Its performance is demonstrated with a novel set of features that also includes local averages.
no code implementations • 4 May 2021 • Vassillen Chizhov, Joachim Weickert
Harmonic inpainting with optimised data is very popular for inpainting-based image compression.
no code implementations • 4 Dec 2020 • Vassillen Chizhov, Iliyan Georgiev, Karol Myszkowski, Gurprit Singh
To find solutions, we present a set of algorithms that provide varying trade-offs between quality and speed, showing substantial improvements over prior state of the art.
Image Generation Graphics I.3.7