Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs. (arXiv:2205.06597v1 [cs.CV])

Blind inpainting algorithms based on deep learning architectures have shown a
remarkable performance in recent years, typically outperforming model-based
methods both in terms of image quality and run time. However, neural network
strategies typically lack a theoretical explanation, which contrasts with the
well-understood theory underlying model-based methods. In this work, we
leverage the advantages of both approaches by integrating theoretically founded
concepts from transform domain methods and sparse approximations into a
CNN-based approach for blind image inpainting. To this end, …

arxiv cnns cv image inpainting