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VeraRetouch: A Lightweight Fully Differentiable Framework for Multi-Task Reasoning Photo Retouching
Yihong Guo, Youwei Lyu, Jiajun Tang +5
Reasoning photo retouching has gained significant traction, requiring models to analyze image defects, give reasoning processes, and execute precise retouching enhancements. Howeve…
Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning
Linwei Dong, Ruoyu Guo, Ge Bai +3
Diffusion distillation, exemplified by Distribution Matching Distillation (DMD), has shown great promise in few-step generation but often sacrifices quality for sampling speed. Whi…
RefRetouch: Personalized Image Retouching without Test-time Fine-tuning
Temesgen Muruts Weldengus, Binnan Liu, Fei Kou +4
Personalized image retouching aims to adapt retouching styles of individual users from reference examples, but existing methods often require user-specific fine-tuning or fail to g…
Dual-End Consistency Model
Linwei Dong, Ruoyu Guo, Ge Bai +3
The slow iterative sampling nature remains a major bottleneck for the practical deployment of diffusion and flow-based generative models. While consistency models (CMs) represent a…