3 papers
cs.CV2025
ReNeg: Learning Negative Embedding with Reward Guidance
Xiaomin Li, Yixuan Liu, Takashi Isobe +8
In text-to-image (T2I) generation applications, negative embeddings have proven to be a simple yet effective approach for enhancing generation quality. Typically, these negative em…
cs.CV2025
Edit as You See: Image-guided Video Editing via Masked Motion Modeling
Zhi-Lin Huang, Yixuan Liu, Chujun Qin +4
Recent advancements in diffusion models have significantly facilitated text-guided video editing. However, there is a relative scarcity of research on image-guided video editing, a…
cs.CV2024
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
Qinpeng Cui, Yixuan Liu, Xinyi Zhang +7
Diffusion-based image super-resolution (SR) models have attracted substantial interest due to their powerful image restoration capabilities. However, prevailing diffusion models of…