Paper accepted to ICCV 2023
TPDMAbstract
A paper is accepted to ICCV 2023. TPDM greatly improves 3D voxel generative modeling from 2D diffusion priors. Take home message? Modeling the 3D prior distribution as the product of independent 2D sliced distributions work extremely well.
Date
Jul 14, 2023 12:00 AM
Hyungjin Chung
Ph.D. student - Generative Models & Inverse Problems
My research interests include, but is not restricted to developing efficient, modular deep generative models (diffusion models), and solving real-world inverse problems (MRI, tomography, microscopy, phase retrieval, etc.) with deep generative priors.