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Hyungjin Chung
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2020 – today
- 2024
- [c12]Hyungjin Chung
, Jong Chul Ye
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems. ECCV (75) 2024: 432-455 - [c11]Hyungjin Chung, Suhyeon Lee, Jong Chul Ye:
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems. ICLR 2024 - [c10]Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio:
Prompt-tuning Latent Diffusion Models for Inverse Problems. ICML 2024 - [d1]Hyungjin Chung, Se Hie Park, Eui-Sang Chung, Kayoung Yi, Jong Chul Ye:
Fundus Photo Enhancement dataset. IEEE DataPort, 2024 - [i29]Sangjoon Park, Yong Bae Kim, Jee Suk Chang, Seo Hee Choi, Hyungjin Chung, Ik-Jae Lee, Hwa Kyung Byun:
Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model. CoRR abs/2402.18362 (2024) - [i28]Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye:
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. CoRR abs/2406.08070 (2024) - [i27]Hyungjin Chung, Jong Chul Ye:
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems. CoRR abs/2407.10641 (2024) - [i26]Abbas Mammadov, Hyungjin Chung, Jong Chul Ye:
Amortized Posterior Sampling with Diffusion Prior Distillation. CoRR abs/2407.17907 (2024) - [i25]Sehui Kim, Hyungjin Chung, Se Hie Park, Eui-Sang Chung, Kayoung Yi, Jong Chul Ye:
Fundus image enhancement through direct diffusion bridges. CoRR abs/2409.12377 (2024) - [i24]Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai, Yuki Mitsufuji, Jong Chul Ye, Peyman Milanfar, Alexandros G. Dimakis, Mauricio Delbracio:
A Survey on Diffusion Models for Inverse Problems. CoRR abs/2410.00083 (2024) - [i23]Hyungjin Chung, Dohun Lee, Jong Chul Ye:
ACDC: Autoregressive Coherent Multimodal Generation using Diffusion Correction. CoRR abs/2410.04721 (2024) - 2023
- [j9]Hyungjin Chung
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. IEEE Trans. Medical Imaging 42(4): 922-934 (2023) - [c9]Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye:
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. CVPR 2023: 6059-6069 - [c8]Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye:
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. CVPR 2023: 22542-22551 - [c7]Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye:
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. ICCV 2023: 10676-10686 - [c6]Michael T. McCann
Score-Based Diffusion Models for Bayesian Image Reconstruction. ICIP 2023: 111-115 - [c5]Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye:
Diffusion Posterior Sampling for General Noisy Inverse Problems. ICLR 2023 - [c4]Hyungjin Chung, Jeongsol Kim, Jong Chul Ye:
Direct Diffusion Bridge using Data Consistency for Inverse Problems. NeurIPS 2023 - [i22]Hyungjin Chung, Suhyeon Lee, Jong Chul Ye:
Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition. CoRR abs/2303.05754 (2023) - [i21]Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye:
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. CoRR abs/2303.08440 (2023) - [i20]Hyungjin Chung, Jeongsol Kim, Jong Chul Ye:
Direct Diffusion Bridge using Data Consistency for Inverse Problems. CoRR abs/2305.19809 (2023) - [i19]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:
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR abs/2307.15208 (2023) - [i18]Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye:
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems. CoRR abs/2308.14409 (2023) - [i17]Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio:
Prompt-tuning latent diffusion models for inverse problems. CoRR abs/2310.01110 (2023) - [i16]Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye:
Regularization by Texts for Latent Diffusion Inverse Solvers. CoRR abs/2311.15658 (2023) - 2022
- [j8]Hyungjin Chung, Jong Chul Ye:
Score-based diffusion models for accelerated MRI. Medical Image Anal. 80: 102479 (2022) - [j7]Mehmet Akçakaya
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. IEEE Signal Process. Mag. 39(2): 28-44 (2022) - [c3]Hyungjin Chung, Byeongsu Sim, Jong Chul Ye:
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CVPR 2022: 12403-12412 - [c2]Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye:
Improving Diffusion Models for Inverse Problems using Manifold Constraints. NeurIPS 2022 - [i15]Hyungjin Chung, Eun Sun Lee, Jong Chul Ye:
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. CoRR abs/2203.12621 (2022) - [i14]Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye:
Improving Diffusion Models for Inverse Problems using Manifold Constraints. CoRR abs/2206.00941 (2022) - [i13]Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye:
Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis. CoRR abs/2207.11192 (2022) - [i12]Hyungjin Chung, Jeongsol Kim, Michael T. McCann
Diffusion Posterior Sampling for General Noisy Inverse Problems. CoRR abs/2209.14687 (2022) - [i11]Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye:
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models. CoRR abs/2211.10655 (2022) - [i10]Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye:
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. CoRR abs/2211.10656 (2022) - 2021
- [j6]Hyungjin Chung, Eunju Cha
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data. Medical Image Anal. 71: 102047 (2021) - [j5]Yoseob Han
Deep learning STEM-EDX tomography of nanocrystals. Nat. Mach. Intell. 3(3): 267-274 (2021) - [j4]Hyungjin Chung
Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN. Nat. Mach. Intell. 3(10): 861-863 (2021) - [j3]Hyungjin Chung
Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain. IEEE Trans. Computational Imaging 7: 747-758 (2021) - [j2]Eunju Cha
Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution. IEEE Trans. Medical Imaging 40(1): 166-179 (2021) - [i9]Hyungjin Chung, Jaeyoung Huh, Geon Kim, YongKeun Park, Jong Chul Ye:
Unsupervised Missing Cone Deep Learning in Optical Diffraction Tomography. CoRR abs/2103.09022 (2021) - [i8]Hyungjin Chung, Jong Chul Ye:
Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN. CoRR abs/2105.00194 (2021) - [i7]Hyungjin Chung, Jaehyun Kim, Jeong Hee Yoon, Jeong Min Lee, Jong Chul Ye:
Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning. CoRR abs/2105.00240 (2021) - [i6]Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye:
Unsupervised Deep Learning Methods for Biological Image Reconstruction. CoRR abs/2105.08040 (2021) - [i5]Hyungjin Chung, Jong Chul Ye:
Score-based diffusion models for accelerated MRI. CoRR abs/2110.05243 (2021) - [i4]Hyungjin Chung, Byeongsu Sim, Jong Chul Ye:
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CoRR abs/2112.05146 (2021) - 2020
- [j1]Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo
Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN. IEEE Trans. Computational Imaging 6: 1285-1296 (2020) - [c1]Joonhyung Lee
Deep Learning Fast MRI Using Channel Attention in Magnitude Domain. ISBI 2020: 917-920 - [i3]Eunju Cha, Hyungjin Chung, Eung-Yeop Kim, Jong Chul Ye:
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution. CoRR abs/2003.13096 (2020) - [i2]Hyungjin Chung, Eunju Cha, Leonard Sunwoo, Jong Chul Ye:
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data. CoRR abs/2008.01362 (2020) - [i1]Gyutaek Oh, Byeongsu Sim, Hyungjin Chung, Leonard Sunwoo, Jong Chul Ye:
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN. CoRR abs/2008.12967 (2020)
Coauthor Index
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