VmambaIR: Visual State Space Model for Image Restoration

arXiv:2403.11423v1 Announce Type: new
Abstract: Image restoration is a critical task in low-level computer vision, aiming to restore high-quality images from degraded inputs. Various models, such as convolutional neural networks (CNNs), generative adversarial networks (GANs), transformers, and diffusion models (DMs), have been employed to address this problem with significant impact. However, CNNs have limitations in capturing long-range dependencies. DMs require large prior models and computationally intensive denoising steps. Transformers have powerful modeling capabilities but face challenges due to quadratic complexity …

abstract adversarial arxiv cnns computer computer vision convolutional neural networks cs.cv diffusion diffusion models gans generative generative adversarial networks however image image restoration images impact inputs low networks neural networks quality restore space state transformers type vision visual