18 citations · 26 across the 11 of their papers we have counts for
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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…
cs.CV2023★ 1 cited
What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversion
Pu Cao, Lu Yang, Dongxv Liu +3
Recently, inversion methods have focused on additional high-rate information in the generator (e.g., weights or intermediate features) to refine inversion and editing results from…