Awesome-Mamba-in-Low-Level-Vision
The repository provides an extensive overview of methodologies in low-level vision tasks such as image restoration, super-resolution, deraining, and dehazing. It includes noteworthy models like MambaIR, RSDehamba, and MambaCSR, recognized by conferences including ECCV, ACM MM, and NeurIPS 2024. This collection is a valuable asset for those seeking to improve image quality using state-of-the-art state-space models.
