Resolution-robust Large Mask Inpainting with Fourier Convolutions

• Published in: Proceedings / IEEE Workshop on Applications of Computer Vision pp. 3172 - 3182
• Main Authors: Suvorov, Roman, Logacheva, Elizaveta, Mashikhin, Anton, Remizova, Anastasia, Ashukha, Arsenii, Silvestrov, Aleksei, Kong, Naejin, Goka, Harshith, Park, Kiwoong, Lempitsky, Victor
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2022
• Subjects: Computational modeling; Computer vision; Convolutional codes; Costs; Deep Learning -> Neural Generative Models; Autoencoders; GANs Semantic Image Manipulation; Network architecture; Periodic structures; Training

Modern image inpainting systems, despite the significant progress, often struggle with large missing areas, complex geometric structures, and high-resolution images. We find that one of the main reasons for that is the lack of an effective receptive field in both the inpainting network and the loss...