4 papers
Enhancing Blind Face Restoration through Online Reinforcement Learning
Bin Wu, Yahui Liu, Chi Zhang +2
Blind Face Restoration (BFR) encounters inherent challenges in exploring its large solution space, leading to common artifacts like missing details and identity ambiguity in the re…
Stable-Hair v2: Real-World Hair Transfer via Multiple-View Diffusion Model
Kuiyuan Sun, Yuxuan Zhang, Jichao Zhang +4
While diffusion-based methods have shown impressive capabilities in capturing diverse and complex hairstyles, their ability to generate consistent and high-quality multi-view outpu…
Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing
Chengxi Min, Wei Wang, Yahui Liu +4
Mixture-of-Experts (MoE) models have emerged as a promising direction for scaling vision architectures efficiently. Among them, Soft MoE improves training stability by assigning ea…
DiffusionReward: Enhancing Blind Face Restoration through Reward Feedback Learning
Bin Wu, Wei Wang, Yahui Liu +2
Reward Feedback Learning (ReFL) has recently shown great potential in aligning model outputs with human preferences across various generative tasks. In this work, we introduce a Re…