In image restoration (IR) leveraging semantic priors from segmentation models has been a
common approach to improve performance. The recent segment anything model (SAM) has …

Single image super‐resolution (SISR) is a promising research direction in computer vision
and image processing for improving the visual perception of low‐quality images. In recent …

Abstract Diffusion-based Video Super-Resolution (VSR) is renowned for generating
perceptually realistic videos, yet it grapples with maintaining detail consistency across …

Compressed video super-resolution (SR) aims to generate high-resolution (HR) videos from
the corresponding low-resolution (LR) compressed videos. Recently, some compressed …

Image super-resolution (ISR) is a classic and challenging problem in low-level vision
because the data collection process often introduces complex and unknown degradation …