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eess.IV2022
Deep Spatial and Tonal Data Optimisation for Homogeneous Diffusion Inpainting
Pascal Peter, Karl Schrader, Tobias Alt +1
Diffusion-based inpainting can reconstruct missing image areas with high quality from sparse data, provided that their location and their values are well optimised. This is particu…
eess.IV2022
A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation
Pascal Peter
Image inpainting is a restoration method that reconstructs missing image parts. However, a carefully selected mask of known pixels that yield a high quality inpainting can also act…