Hyungjin Chung

Hyungjin Chung

KAIST

H-index: 15

Asia-South Korea

About Hyungjin Chung

Hyungjin Chung, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at KAIST, specializes in the field of Deep Learning, Generative Models, Inverse Problems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Direct diffusion bridge using data consistency for inverse problems

Regularization by Texts for Latent Diffusion Inverse Solvers

Score-based diffusion models for Bayesian image reconstruction

Prompt-tuning latent diffusion models for inverse problems

Steerable conditional diffusion for out-of-distribution adaptation in imaging inverse problems

Generative ai for medical imaging: extending the monai framework

Magnetic Resource Imaging Method Using Score-based Diffusion Model And Apparatus thereof

Diffusion posterior sampling for general noisy inverse problems

Hyungjin Chung Information

University

Position

bio&brain engineering

Citations(all)

1003

Citations(since 2020)

1003

Cited By

19

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

17

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Hyungjin Chung Skills & Research Interests

Deep Learning

Generative Models

Inverse Problems

Top articles of Hyungjin Chung

Direct diffusion bridge using data consistency for inverse problems

Advances in Neural Information Processing Systems

2024/2/13

Hyungjin Chung
Hyungjin Chung

H-Index: 3

Jong Chul Ye
Jong Chul Ye

H-Index: 43

Regularization by Texts for Latent Diffusion Inverse Solvers

arXiv preprint arXiv:2311.15658

2023/11/27

Score-based diffusion models for Bayesian image reconstruction

2023/10/8

Hyungjin Chung
Hyungjin Chung

H-Index: 3

Jong Chul Ye
Jong Chul Ye

H-Index: 43

Prompt-tuning latent diffusion models for inverse problems

arXiv preprint arXiv:2310.01110

2023/10/2

Hyungjin Chung
Hyungjin Chung

H-Index: 3

Jong Chul Ye
Jong Chul Ye

H-Index: 43

Steerable conditional diffusion for out-of-distribution adaptation in imaging inverse problems

arXiv preprint arXiv:2308.14409

2023/8/28

Magnetic Resource Imaging Method Using Score-based Diffusion Model And Apparatus thereof

2023/5/18

Diffusion posterior sampling for general noisy inverse problems

arXiv preprint arXiv:2209.14687

2022/9/29

Hyungjin Chung
Hyungjin Chung

H-Index: 3

Jong Chul Ye
Jong Chul Ye

H-Index: 43

Fast diffusion sampler for inverse problems by geometric decomposition

arXiv preprint arXiv:2303.05754

2023/3/10

Improving 3D imaging with pre-trained perpendicular 2D diffusion models

2023

Solving 3d inverse problems using pre-trained 2d diffusion models

2023

Hyungjin Chung
Hyungjin Chung

H-Index: 3

Jong Chul Ye
Jong Chul Ye

H-Index: 43

Parallel diffusion models of operator and image for blind inverse problems

2023

Hyungjin Chung
Hyungjin Chung

H-Index: 3

Jong Chul Ye
Jong Chul Ye

H-Index: 43

Deep learning model for diagnosing gastric mucosal lesions using endoscopic images: development, validation, and method comparison

Gastrointestinal Endoscopy

2022/2/1

Come-closer-diffuse-faster: Accelerating conditional diffusion models for inverse problems through stochastic contraction

2022

Hyungjin Chung
Hyungjin Chung

H-Index: 3

Jong Chul Ye
Jong Chul Ye

H-Index: 43

MR image denoising and super-resolution using regularized reverse diffusion

IEEE Transactions on Medical Imaging

2022/11/7

Score-based diffusion models for accelerated MRI

Medical Image Analysis

2022/8

Hyungjin Chung
Hyungjin Chung

H-Index: 3

Jong Chul Ye
Jong Chul Ye

H-Index: 43

Progressive deblurring of diffusion models for coarse-to-fine image synthesis

arXiv preprint arXiv:2207.11192

2022/7/16

Low-dose sparse-view HAADF-STEM-EDX tomography of nanocrystals using unsupervised deep learning

ACS nano

2022/6/22

Improving diffusion models for inverse problems using manifold constraints

arXiv preprint arXiv:2402.02149

2024/2/3

Unsupervised deep learning methods for biological image reconstruction and enhancement: An overview from a signal processing perspective

2022/2/24

See List of Professors in Hyungjin Chung University(KAIST)