19 citations · 32 across the 12 of their papers we have counts for
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cs.CV2023
Restoration by Generation with Constrained Priors
Zheng Ding, Xuaner Zhang, Zhuowen Tu +1
The inherent generative power of denoising diffusion models makes them well-suited for image restoration tasks where the objective is to find the optimal high-quality image within…
cs.CV2023★ 3 cited
Patched Denoising Diffusion Models For High-Resolution Image Synthesis
Zheng Ding, Mengqi Zhang, Jiajun Wu +1
We propose an effective denoising diffusion model for generating high-resolution images (e.g., 1024512), trained on small-size image patches (e.g., 6464). We name o…
cs.CV2023
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
Zheng Ding, Xuaner Zhang, Zhihao Xia +3
We address the problem of learning person-specific facial priors from a small number (e.g., 20) of portrait photos of the same person. This enables us to edit this specific person'…