2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2026
TripleFlow: Training-Free Video Object Removal by Bridging Residual Editing and Native Generation
Songhe Wang, Lifu Wei, Shuolin Xu +2
Video object removal presents a uniquely difficult editing challenge. Because a removal prompt specifies only what to erase rather than what to generate, the model must infer and r…
stat.ML2026
SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
Lifu Wei, Yinuo Ren, Naichen Shi +1
Data assimilation (DA) addresses the problem of sequentially estimating the state of a dynamical system from noisy and incomplete observations. In this work, we employ a diffusion…
cs.CV2024★ 2 cited
Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model
Yuxuan Zhang, Yirui Yuan, Yiren Song +1
Current makeup transfer methods are limited to simple makeup styles, making them difficult to apply in real-world scenarios. In this paper, we introduce Stable-Makeup, a novel diff…