5 papers
AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion Prior
Guoqiang Liang, Qingnan Fan, Bingtao Fu +3
Blind face restoration (BFR) is a fundamental and challenging problem in computer vision. To faithfully restore high-quality (HQ) photos from poor-quality ones, recent research end…
CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models
Gaoyang Zhang, Bingtao Fu, Qingnan Fan +5
Text-to-image (T2I) diffusion models excel at generating photorealistic images but often fail to render accurate spatial relationships. We identify two core issues underlying this…
Textualize Visual Prompt for Image Editing via Diffusion Bridge
Pengcheng Xu, Qingnan Fan, Fei Kou +5
Visual prompt, a pair of before-and-after edited images, can convey indescribable imagery transformations and prosper in image editing. However, current visual prompt methods rely…
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models
Wei Wu, Qingnan Fan, Shuai Qin +3
Precise image editing with text-to-image models has attracted increasing interest due to their remarkable generative capabilities and user-friendly nature. However, such attempts f…
LIPE: Learning Personalized Identity Prior for Non-rigid Image Editing
Aoyang Liu, Qingnan Fan, Shuai Qin +2
Although recent years have witnessed significant advancements in image editing thanks to the remarkable progress of text-to-image diffusion models, the problem of non-rigid image e…