3 papers
cs.CV2025
OmniScaleSR: Unleashing Scale-Controlled Diffusion Prior for Faithful and Realistic Arbitrary-Scale Image Super-Resolution
Xinning Chai, Zhengxue Cheng, Yuhong Zhang +5
Arbitrary-scale super-resolution (ASSR) overcomes the limitation of traditional super-resolution (SR) methods that operate only at fixed scales (e.g., 4x), enabling a single model…
cs.CV2025
SSP-IR: Semantic and Structure Priors for Diffusion-based Realistic Image Restoration
Yuhong Zhang, Hengsheng Zhang, Zhengxue Cheng +3
Realistic image restoration is a crucial task in computer vision, and diffusion-based models for image restoration have garnered significant attention due to their ability to produ…
cs.CV2024
Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration
Yuhong Zhang, Hengsheng Zhang, Xinning Chai +4
Image restoration is a classic low-level problem aimed at recovering high-quality images from low-quality images with various degradations such as blur, noise, rain, haze, etc. How…