GAMA-IR: Global Additive Multidimensional Averaging for Fast Image Restoration

arXiv:2404.00807v1 Announce Type: new
Abstract: Deep learning-based methods have shown remarkable success for various image restoration tasks such as denoising and deblurring. The current state-of-the-art networks are relatively deep and utilize (variants of) self attention mechanisms. Those networks are significantly slower than shallow convolutional networks, which however perform worse. In this paper, we introduce an image restoration network that is both fast and yields excellent image quality. The network is designed to minimize the latency and memory consumption when executed …

abstract art arxiv attention attention mechanisms cs.cv current deep learning denoising eess.iv global however image image restoration multidimensional networks state success tasks type variants