4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2026
An Empirical Study of Training Pixel-Space Text-to-Image Diffusion Models
Dengyang Jiang, Ruoyi Du, Zhennan Chen +10
This paper investigates an increasingly important topic in generative modeling: pixel-space diffusion models. Although numerous studies have explored this topic, most focus on smal…
cs.CV2023★ 4 cited
TransMatting: Tri-token Equipped Transformer Model for Image Matting
Huanqia Cai, Fanglei Xue, Lele Xu +1
Image matting aims to predict alpha values of elaborate uncertainty areas of natural images, like hairs, smoke, and spider web. However, existing methods perform poorly when faced…
cs.CV2022★ 1 cited
TransMatting: Enhancing Transparent Objects Matting with Transformers
Huanqia Cai, Fanglei Xue, Lele Xu +1
Image matting refers to predicting the alpha values of unknown foreground areas from natural images. Prior methods have focused on propagating alpha values from known to unknown re…