MambaIR: A Simple Baseline for Image Restoration with State-Space Model

arXiv:2402.15648v1 Announce Type: new
Abstract: Recent years have witnessed great progress in image restoration thanks to the advancements in modern deep neural networks e.g. Convolutional Neural Network and Transformer. However, existing restoration backbones are usually limited due to the inherent local reductive bias or quadratic computational complexity. Recently, Selective Structured State Space Model e.g., Mamba, has shown great potential for long-range dependencies modeling with linear complexity, but it is still under-explored in low-level computer vision. In this work, we introduce …

arxiv cs.cv image image restoration simple space state type