2 Papers accepted to NeurIPS 2022 / NeurIPS 2022 SBM Workshop

Abstract

Paper titled “Improving Diffusion Models for Inverse Problems using Manifold Constraints” is accepted to NeurIPS 2022. We propose a geometric view of diffusion models, and use this view to dramatically improve the performance of diffusion models in linear inverse problem solving. Paper titled “Progressive deblurring of diffusion models for coarse-to-fine image synthesis” is accepted to NeurIPS 2022 SBM workshop.

Hyungjin Chung, Ph.D.

Research Scientist

Generative models, Inverse problems, Multimodality, Motion, and more.