Hyungjin Chung

72 papers A* 12B 1Journal 56Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Foundational Brain Dynamics Model via Stochastic Optimal Control.
CoRR
Joonhyeong Park, Byoungwoo Park, Chang-Bae Bang, Jungwon Choi, Hyungjin Chung, Byung-Hoon Kim, Juho Lee
2025 J jnl
Align Your Query: Representation Alignment for Multimodality Medical Object Detection.
CoRR
Ara Seo, Bryan Sangwoo Kim, Hyungjin Chung, Jong Chul Ye
2025 A* conf
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.
ICLR
Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye
2025 J jnl
ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning.
CoRR
Hyungjin Chung, Dohun Lee, Zihui Wu, Byung-Hoon Kim, Katherine L. Bouman, Jong Chul Ye
2025 A* conf
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI.
CVPR
Won Jun Kim, Hyungjin Chung, Jaemin Kim, Sangmin Lee, Byeongsu Sim, Jong Chul Ye
2025 J jnl
Diffusion models for inverse problems.
CoRR
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
2025 J jnl
Generating Human Motion Videos using a Cascaded Text-to-Video Framework.
CoRR
Hyelin Nam, Hyojun Go, Byeongjun Park, Byung-Hoon Kim, Hyungjin Chung
2025 J jnl
InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems.
CoRR
Noam Elata, Hyungjin Chung, Jong Chul Ye, Tomer Michaeli, Michael Elad
2025 J jnl
InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem.
CoRR
Yeobin Hong, Suhyeon Lee, Hyungjin Chung, Jong Chul Ye
2025 J jnl
Label-independent framework for objective evaluation of cosmetic outcome in breast cancer.
Artif. Intell. Medicine
Sangjoon Park, Yong Bae Kim, Jee Suk Chang, Seo Hee Choi, Hyungjin Chung, Ik-Jae Lee, Hwa Kyung Byun
2025 J jnl
Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion.
CoRR
Junhyeok Lee, Hyunwoong Kim, Hyungjin Chung, Heeseong Eom, Joon Jang, Chul-Ho Sohn, Kyu Sung Choi
2025 — conf
Lesion-Aware Post-training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion.
MICCAI (2)
Junhyeok Lee, Hyunwoong Kim, Hyungjin Chung, Heeseong Eom, Joon Jang, Chul-Ho Sohn, Kyu Sung Choi
2025 J jnl
ReDirector: Creating Any-Length Video Retakes with Rotary Camera Encoding.
CoRR
Byeongjun Park, Byung-Hoon Kim, Hyungjin Chung, Jong Chul Ye
2025 A* conf
Regularization by Texts for Latent Diffusion Inverse Solvers.
ICLR
Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye
2025 J jnl
SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering.
CoRR
Byeongjun Park, Hyojun Go, Hyelin Nam, Byung-Hoon Kim, Hyungjin Chung, Changick Kim
2025 J jnl
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction.
IEEE Trans. Medical Imaging
Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon R. Arridge, Peter Maass, Bangti Jin, Jong Chul Ye
2025 J jnl
Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs.
CoRR
Hyungjin Chung, Hyelin Nam, Jiyeon Kim, Hyojun Go, Byeongjun Park, Junho Kim, Joonseok Lee, Seongsu Ha, Byung-Hoon Kim
2025 J jnl
VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling.
CoRR
Hyojun Go, Byeongjun Park, Hyelin Nam, Byung-Hoon Kim, Hyungjin Chung, Changick Kim
2024 J jnl
A Survey on Diffusion Models for Inverse Problems.
CoRR
Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai, Yuki Mitsufuji, Jong Chul Ye, Peyman Milanfar, Alexandros G. Dimakis, Mauricio Delbracio
2024 J jnl
ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction.
CoRR
Hyungjin Chung, Dohun Lee, Jong Chul Ye
2024 J jnl
Amortized Posterior Sampling with Diffusion Prior Distillation.
CoRR
Abbas Mammadov, Hyungjin Chung, Jong Chul Ye
2024 J jnl
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.
CoRR
Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye
2024 J jnl
CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models.
CoRR
Junho Kim, Hyungjin Chung, Byung-Hoon Kim
2024 J jnl
Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts.
CoRR
Jinho Chang, Hyungjin Chung, Jong Chul Ye
2024 A* conf
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems.
ICLR
Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
2024 — conf
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems.
ECCV (75)
Hyungjin Chung, Jong Chul Ye
2024 J jnl
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems.
CoRR
Hyungjin Chung, Jong Chul Ye
2024 J jnl
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI.
CoRR
Won Jun Kim, Hyungjin Chung, Jaemin Kim, Sangmin Lee, Byeongsu Sim, Jong Chul Ye
2024 J jnl
Fundus Image Enhancement Through Direct Diffusion Bridges.
IEEE J. Biomed. Health Informatics
Sehui Kim, Hyungjin Chung, Se Hie Park, Eui-Sang Chung, Kayoung Yi, Jong Chul Ye
2024 J jnl
Fundus image enhancement through direct diffusion bridges.
CoRR
Sehui Kim, Hyungjin Chung, Se Hie Park, Eui-Sang Chung, Kayoung Yi, Jong Chul Ye
2024 J jnl
Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model.
CoRR
Sangjoon Park, Yong Bae Kim, Jee Suk Chang, Seo Hee Choi, Hyungjin Chung, Ik-Jae Lee, Hwa Kyung Byun
2024 A* conf
Prompt-tuning Latent Diffusion Models for Inverse Problems.
ICML
Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio
2023 A* conf
Diffusion Posterior Sampling for General Noisy Inverse Problems.
ICLR
Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye
2023 A* conf
Direct Diffusion Bridge using Data Consistency for Inverse Problems.
NeurIPS
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
2023 J jnl
Direct Diffusion Bridge using Data Consistency for Inverse Problems.
CoRR
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
2023 J jnl
Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition.
CoRR
Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
2023 J jnl
Generative AI for Medical Imaging: extending the MONAI Framework.
CoRR
Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, Xueyan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023 A* conf
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models.
ICCV
Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
2023 J jnl
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models.
CoRR
Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
2023 J jnl
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion.
IEEE Trans. Medical Imaging
Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
2023 A* conf
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems.
CVPR
Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye
2023 J jnl
Prompt-tuning latent diffusion models for inverse problems.
CoRR
Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio
2023 J jnl
Regularization by Texts for Latent Diffusion Inverse Solvers.
CoRR
Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye
2023 B conf
Score-Based Diffusion Models for Bayesian Image Reconstruction.
ICIP
Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky
2023 A* conf
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models.
CVPR
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
2023 J jnl
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems.
CoRR
Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye
2022 A* conf
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction.
CVPR
Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
2022 J jnl
Diffusion Posterior Sampling for General Noisy Inverse Problems.
CoRR
Hyungjin Chung, Jeongsol Kim, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
2022 A* conf
Improving Diffusion Models for Inverse Problems using Manifold Constraints.
NeurIPS
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
2022 J jnl
Improving Diffusion Models for Inverse Problems using Manifold Constraints.
CoRR
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
2022 J jnl
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion.
CoRR
Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
2022 J jnl
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems.
CoRR
Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye
2022 J jnl
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis.
CoRR
Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye
2022 J jnl
Score-based diffusion models for accelerated MRI.
Medical Image Anal.
Hyungjin Chung, Jong Chul Ye
2022 J jnl
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models.
CoRR
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
2022 J jnl
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective.
IEEE Signal Process. Mag.
Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
2021 J jnl
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction.
CoRR
Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
2021 J jnl
Deep learning STEM-EDX tomography of nanocrystals.
Nat. Mach. Intell.
Yoseob Han, Jaeduck Jang, Eunju Cha, Junho Lee, Hyungjin Chung, Myoungho Jeong, Tae-Gon Kim, Byeong Gyu Chae, Hee Goo Kim, Shinae Jun, SungWoo Hwang, Eunha Lee, Jong Chul Ye
2021 J jnl
Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN.
CoRR
Hyungjin Chung, Jong Chul Ye
2021 J jnl
Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain.
IEEE Trans. Computational Imaging
Hyungjin Chung, Jaeyoung Huh, Geon Kim, YongKeun Park, Jong Chul Ye
2021 J jnl
Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN.
Nat. Mach. Intell.
Hyungjin Chung, Jong Chul Ye
2021 J jnl
Score-based diffusion models for accelerated MRI.
CoRR
Hyungjin Chung, Jong Chul Ye
2021 J jnl
Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning.
CoRR
Hyungjin Chung, Jaehyun Kim, Jeong Hee Yoon, Jeong Min Lee, Jong Chul Ye
2021 J jnl
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data.
Medical Image Anal.
Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
2021 J jnl
Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution.
IEEE Trans. Medical Imaging
Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye
2021 J jnl
Unsupervised Deep Learning Methods for Biological Image Reconstruction.
CoRR
Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye
2021 J jnl
Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography.
CoRR
Hyungjin Chung, Jaeyoung Huh, Geon Kim, YongKeun Park, Jong Chul Ye
2020 — conf
Deep Learning Fast MRI Using Channel Attention in Magnitude Domain.
ISBI
Joonhyung Lee, Hyunjong Kim, Hyungjin Chung, Jong Chul Ye
2020 J jnl
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data.
CoRR
Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye
2020 J jnl
Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN.
IEEE Trans. Computational Imaging
Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye
2020 J jnl
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN.
CoRR
Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye
2020 J jnl
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution.
CoRR
Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye