2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 1 cited
Generative Video Matting
Yongtao Ge, Kangyang Xie, Guangkai Xu +6
Video matting has traditionally been limited by the lack of high-quality ground-truth data. Most existing video matting datasets provide only human-annotated imperfect alpha and fo…
cs.CV2024
Zippo: Zipping Color and Transparency Distributions into a Single Diffusion Model
Kangyang Xie, Binbin Yang, Hao Chen +5
Beyond the superiority of the text-to-image diffusion model in generating high-quality images, recent studies have attempted to uncover its potential for adapting the learned seman…
cs.CV2024★ 2 cited
What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
Guangkai Xu, Yongtao Ge, Mingyu Liu +5
Extensive pre-training with large data is indispensable for downstream geometry and semantic visual perception tasks. Thanks to large-scale text-to-image (T2I) pretraining, recent…