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cs.CV2024
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…
cs.CV2017
Clustering-Based Quantisation for PDE-Based Image Compression
Laurent Hoeltgen, Pascal Peter, Michael Breuß
Finding optimal data for inpainting is a key problem in the context of partial differential equation based image compression. The data that yields the most accurate reconstruction…