5 papers
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…
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…
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…
Tuning-Free Adaptive Style Incorporation for Structure-Consistent Text-Driven Style Transfer
Yanqi Ge, Jiaqi Liu, Qingnan Fan +6
In this work, we target the task of text-driven style transfer in the context of text-to-image (T2I) diffusion models. The main challenge is consistent structure preservation while…
InstructBrush: Learning Attention-based Instruction Optimization for Image Editing
Ruoyu Zhao, Qingnan Fan, Fei Kou +7
In recent years, instruction-based image editing methods have garnered significant attention in image editing. However, despite encompassing a wide range of editing priors, these m…