3 papers
cs.CV2026
Eliminating VAE for Fast and High-Resolution Generative Detail Restoration
Yan Wang, Shijie Zhao, Junlin Li +1
Diffusion models have attained remarkable breakthroughs in the real-world super-resolution (SR) task, albeit at slow inference and high demand on devices. To accelerate inference,…
cs.CV2026
GenDR: Lighten Generative Detail Restoration
Yan Wang, Shijie Zhao, Kexin Zhang +2
Although recent research applying text-to-image (T2I) diffusion models to real-world super-resolution (SR) has achieved remarkable progress, the misalignment of their targets leads…
cs.CV2025
UARE: A Unified Vision-Language Model for Image Quality Assessment, Restoration, and Enhancement
Weiqi Li, Xuanyu Zhang, Bin Chen +7
Image quality assessment (IQA) and image restoration are fundamental problems in low-level vision. Although IQA and restoration are closely connected conceptually, most existing wo…