2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2024
E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance
Tianrui Huang, Pu Cao, Lu Yang +4
Diffusion-based image editing is a composite process of preserving the source image content and generating new content or applying modifications. While current editing approaches h…
cs.CV2023★ 2 cited
Image is All You Need to Empower Large-scale Diffusion Models for In-Domain Generation
Pu Cao, Feng Zhou, Lu Yang +2
In-domain generation aims to perform a variety of tasks within a specific domain, such as unconditional generation, text-to-image, image editing, 3D generation, and more. Early res…