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Dohoon Ryu

2 accepted papers

2023

Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models

CVPR 2023poster

Diffusion models have emerged as the new state-of-the-art generative model with high quality samples, with intriguing properties such as mode coverage and high flexibility. They have also been shown to be effective inverse problem solvers, acting as the prior of the distribution, while the informati…

2022

Improving Diffusion Models for Inverse Problems using Manifold Constraints

NeurIPS 2022accept

Recently, diffusion models have been used to solve various inverse problems in an unsupervised manner with appropriate modifications to the sampling process. However, the current solvers, which recursively apply a reverse diffusion step followed by a projection-based measurement consistency step, of…