| 2026 | WACV | DreamMakeup: Face Makeup Customization using Latent Diffusion Models. | Geon Yeong Park, Inhwa Han, Serin Yang, Yeobin Hong, Seongmin Jeong, Heechan Jeon, Myeongjin Goh, Sung Won Yi, Jin Nam, Jong Chul Ye |
| 2025 | AAAI | Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models. | Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye |
| 2025 | CVPR | Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation. | Hyeonho Jeong, Chun-Hao P. Huang, Jong Chul Ye, Niloy J. Mitra, Duygu Ceylan |
| 2025 | CVPR | Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI. | Won Jun Kim, Hyungjin Chung, Jaemin Kim, Sangmin Lee, Byeongsu Sim, Jong Chul Ye |
| 2025 | CVPR | VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide. | Dohun Lee, Bryan Sangwoo Kim, Geon Yeong Park, Jong Chul Ye |
| 2025 | CVPR | Optical-Flow Guided Prompt Optimization for Coherent Video Generation. | Hyelin Nam, Jaemin Kim, Dohun Lee, Jong Chul Ye |
| 2025 | CVPR | Minority-Focused Text-to-Image Generation via Prompt Optimization. | Soobin Um, Jong Chul Ye |
| 2025 | ICCV | Reangle-A-Video: 4D Video Generation as Video-to-Video Translation. | Hyeonho Jeong, Suhyeon Lee, Jong Chul Ye |
| 2025 | ICCV | Free | Jaemin Kim, Bryan Sangwoo Kim, Jong Chul Ye |
| 2025 | ICCV | FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems. | Jeongsol Kim, Bryan Sangwoo Kim, Jong Chul Ye |
| 2025 | ICCV | VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models. | Taesung Kwon, Jong Chul Ye |
| 2025 | ICCV | Inference-Time Diffusion Model Distillation. | Geon Yeong Park, Sang Wan Lee, Jong Chul Ye |
| 2025 | ICLR | CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. | Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye |
| 2025 | ICLR | Simple ReFlow: Improved Techniques for Fast Flow Models. | Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton |
| 2025 | ICLR | Generalized Consistency Trajectory Models for Image Manipulation. | Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul Ye |
| 2025 | ICLR | Regularization by Texts for Latent Diffusion Inverse Solvers. | Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye |
| 2025 | ICLR | TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation. | Gihyun Kwon, Jong Chul Ye |
| 2025 | ICLR | Solving Video Inverse Problems Using Image Diffusion Models. | Taesung Kwon, Jong Chul Ye |
| 2025 | ICLR | ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler. | Serin Yang, Taesung Kwon, Jong Chul Ye |
| 2025 | ICML | LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models. | Jinho Chang, Jong Chul Ye |
| 2025 | ICML | Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation. | Soobin Um, Beomsu Kim, Jong Chul Ye |
| 2025 | MICCAI | A 3D Vision Transformer Trained with Synthetic and Real MRI Data for Enhancing ULF-MRI. | Peter Hsu, Jeongsol Kim, Daniel K. Sodickson, Jong Chul Ye, Patricia Johnson, Jelle Veraart |
| 2025 | MICCAI | Ultra-Low-Field Brain MRI Enhancement Using a Slice-Based Vision Transformer. | Peter Hsu, Jeongsol Kim, Daniel K. Sodickson, Jong Chul Ye, Patricia Johnson, Jelle Veraart |
| 2025 | MICCAI | Ultra-Low-Field Brain MRI Enhancement using Resfusion and Residual Artifact Suppression Network. | Youngmin Kim, Jeongchan Kim, Taehoon Lee, Jaeyun Shin, Suhyeon Lee, Jong Chul Ye |
| 2025 | WACV | Text-to-Image Synthesis for Domain Generalization in Face Anti-Spoofing. | Naeun Ko, Yonghyun Jeong, Jong Chul Ye |
| 2024 | AAAI | Patch-Wise Graph Contrastive Learning for Image Translation. | Chanyong Jung, Gihyun Kwon, Jong Chul Ye |
| 2024 | CVPR | VMC: Video Motion Customization Using Temporal Attention Adaption for Text-to-Video Diffusion Models. | Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye |
| 2024 | CVPR | Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models. | Gihyun Kwon, Simon Jenni, Dingzeyu Li, Joon-Young Lee, Jong Chul Ye, Fabian Caba Heilbron |
| 2024 | CVPR | Contrastive Denoising Score for Text-Guided Latent Diffusion Image Editing. | Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye |
| 2024 | CVPR | Self-Supervised Debiasing Using Low Rank Regularization. | Geon Yeong Park, Chanyong Jung, Sangmin Lee, Jong Chul Ye, Sang Wan Lee |
| 2024 | ECCV | Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems. | Hyungjin Chung, Jong Chul Ye |
| 2024 | ECCV | DreamMotion: Space-Time Self-similar Score Distillation for Zero-Shot Video Editing. | Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye |
| 2024 | ECCV | OTSeg: Multi-Prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation. | Kwanyoung Kim, Yujin Oh, Jong Chul Ye |
| 2024 | ECCV | DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation. | Jeongsol Kim, Geon Yeong Park, Jong Chul Ye |
| 2024 | ECCV | Self-Guided Generation of Minority Samples Using Diffusion Models. | Soobin Um, Jong Chul Ye |
| 2024 | ICASSP | Noise2one: One-Shot Image Denoising with Local Implicit Learning. | Kwanyoung Kim, Jong Chul Ye |
| 2024 | ICLR | LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation. | Suhyeon Lee, Won Jun Kim, Jinho Chang, Jong Chul Ye |
| 2024 | ICLR | Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems. | Hyungjin Chung, Suhyeon Lee, Jong Chul Ye |
| 2024 | ICLR | Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models. | Hyeonho Jeong, Jong Chul Ye |
| 2024 | ICLR | Unpaired Image-to-Image Translation via Neural Schrdinger Bridge. | Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye |
| 2024 | ICLR | ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF. | Jangho Park, Gihyun Kwon, Jong Chul Ye |
| 2024 | ICLR | Don't Play Favorites: Minority Guidance for Diffusion Models. | Soobin Um, Suhyeon Lee, Jong Chul Ye |
| 2024 | ICML | Defining Neural Network Architecture through Polytope Structures of Datasets. | Sangmin Lee, Abbas Mammadov, Jong Chul Ye |
| 2024 | ICML | Prompt-tuning Latent Diffusion Models for Inverse Problems. | Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio |
| 2023 | CVPR | Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. | Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye |
| 2023 | CVPR | Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. | Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye |
| 2023 | CVPR | Training Debiased Subnetworks with Contrastive Weight Pruning. | Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye |
| 2023 | ICASSP | Ultrasound Image Quality Control Using Speech-Assisted Switchable CycleGAN. | Jaeyoung Huh, Shujaat Khan, Eun Sun Lee, Jong Chul Ye |
| 2023 | ICCV | Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. | Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye |
| 2023 | ICCV | Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer. | Serin Yang, Hyunmin Hwang, Jong Chul Ye |
| 2023 | ICIP | Score-Based Diffusion Models for Bayesian Image Reconstruction. | Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky |
| 2023 | ICLR | Diffusion Posterior Sampling for General Noisy Inverse Problems. | Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye |
| 2023 | ICLR | Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation. | Boah Kim, Yujin Oh, Jong Chul Ye |
| 2023 | ICLR | Diffusion-based Image Translation using disentangled style and content representation. | Gihyun Kwon, Jong Chul Ye |
| 2023 | ICML | Denoising MCMC for Accelerating Diffusion-Based Generative Models. | Beomsu Kim, Jong Chul Ye |
| 2023 | ICML | Minimizing Trajectory Curvature of ODE-based Generative Models. | Sangyun Lee, Beomsu Kim, Jong Chul Ye |
| 2022 | CVPR | Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. | Hyungjin Chung, Byeongsu Sim, Jong Chul Ye |
| 2022 | CVPR | Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. | Chanyong Jung, Gihyun Kwon, Jong Chul Ye |
| 2022 | CVPR | Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching. | Kwanyoung Kim, Taesung Kwon, Jong Chul Ye |
| 2022 | CVPR | DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation. | Gwanghyun Kim, Taesung Kwon, Jong Chul Ye |
| 2022 | CVPR | CLIPstyler: Image Style Transfer with a Single Text Condition. | Gihyun Kwon, Jong Chul Ye |
| 2022 | ECCV | DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model. | Boah Kim, Inhwa Han, Jong Chul Ye |
| 2022 | ECCV | CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation. | Yujin Oh, Jong Chul Ye |
| 2022 | ICASSP | Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network. | Jaeyoung Huh, Shujaat Khan, Jong Chul Ye |
| 2022 | MICCAI | Patch-Wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising. | Chanyong Jung, Joonhyung Lee, Sunkyoung You, Jong Chul Ye |
| 2022 | MICCAI | Diffusion Deformable Model for 4D Temporal Medical Image Generation. | Boah Kim, Jong Chul Ye |
| 2021 | ICCV | Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation. | Gihyun Kwon, Jong Chul Ye |
| 2021 | MICCAI | Contrast and Resolution Improvement of POCUS Using Self-consistent CycleGAN. | Shujaat Khan, Jaeyoung Huh, Jong Chul Ye |
| 2020 | CVPR | NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. | Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P. S, Densen Puthussery, C. V. Jiji |
| 2020 | ECCV | AIM 2020 Challenge on Learned Image Signal Processing Pipeline. | Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tang, Bingxin Hou |
| 2020 | ECCV | PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing. | Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek |
| 2020 | ICASSP | Optimal Transport Structure of CycleGAN for Unsupervised Learning for Inverse Problems. | Byeongsu Sim, Gyutaek Oh, Jong Chul Ye |
| 2019 | CVPR | CollaGAN: Collaborative GAN for Missing Image Data Imputation. | Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye |
| 2019 | ICML | Understanding Geometry of Encoder-Decoder CNNs. | Jong Chul Ye, Woon Kyoung Sung |
| 2019 | MICCAI | Deep Learning-Based Universal Beamformer for Ultrasound Imaging. | Shujaat Khan, Jaeyoung Huh, Jong Chul Ye |
| 2019 | MICCAI | Unsupervised Deformable Image Registration Using Cycle-Consistent CNN. | Boah Kim, Jieun Kim, June-Goo Lee, Dong Hwan Kim, Seong Ho Park, Jong Chul Ye |
| 2019 | MICCAI | Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer. | Sungjun Lim, Jong Chul Ye |
| 2018 | ICASSP | Deep Learning for Accelerated Ultrasound Imaging. | Yeo Hun Yoon, Jong Chul Ye |
| 2018 | MICCAI | Improved Time-Resolved MRA Using k-Space Deep Learning. | Eunju Cha, Eung-Yeop Kim, Jong Chul Ye |
| 2017 | CVPR | Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification. | Woong Bae, Jaejun Yoo, Jong Chul Ye |
| 2017 | CVPR | NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. | Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristvo Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo |
| 2016 | ICIP | Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation. | Kyong Hwan Jin, Dongwook Lee, Juyoung Lee, Jong Chul Ye |
| 2016 | ICIP | Random impulse noise removal using sparse and low rank decomposition of annihilating filter-based Hankel matrix. | Kyong Hwan Jin, Jong Chul Ye |
| 2013 | ICASSP | Subspace penalized sparse learning for joint sparse recovery. | Jong Chul Ye, Jong Min Kim, Yoram Bresler |
| 2012 | ICASSP | Dynamic sparse support tracking with multiple measurement vectors using compressive MUSIC. | Jong Min Kim, Ok Kyun Lee, Jong Chul Ye |
| 2012 | SMC | Resting-state fMRI analysis of Alzheimer's disease progress using sparse dictionary learning. | Jeonghyeon Lee, Jong Chul Ye |
| 2011 | ISIT | Compressive MUSIC with optimized partial support for joint sparse recovery. | Jong Min Kim, Ok Kyun Lee, Jong Chul Ye |
| 2009 | ICIP | Single channel 2-D and 3-D blind image deconvolution for circularly symmetric fir blurs. | Kwang Eun Jang, Hee Won Yang, Jong Chul Ye |
| 2008 | ICASSP | Non-iterative exact inverse scattering using simultaneous orthogonal matching pursuit (S-OMP). | Jong Chul Ye, Su Yeon Lee |
| 2005 | ICASSP | In vivo optical molecular imaging: principles and signal processing issues. | Jong Chul Ye, Kevin J. Webb, Rick P. Millane, Charles A. Bouman |
| 2003 | ICASSP | Rate-distortion optimized data partitioning for video using backward adaptation. | Jong Chul Ye, Yingwei Chen |
| 2003 | ICIP | Video streaming over wireless LAN with efficient scalable coding and prioritized adaptive transmission. | Yingwei Chen, Jong Chul Ye, Carles Ruiz Floriach, Kiran S. Challapali |
| 2003 | PIMRC | Channel adaptive prioritized transmission of layered video over wireless LAN. | Yingwei Chen, Carles Ruiz Floriach, Jong Chul Ye, Kiran S. Challapali |
| 2002 | ICIP | Cramer-Rao bounds for parametric shape estimation. | Jong Chul Ye, Yoram Bresler, Pierre Moulin |
| 2001 | ICIP | A self-referencing level-set method for image reconstruction from sparse Fourier samples. | Jong Chul Ye, Yoram Bresler, Pierre Moulin |
| 2000 | ICASSP | Global confidence regions in parametric shape estimation. | Jong Chul Ye, Yoram Bresler, Pierre Moulin |
| 1999 | ICIP | Nonlinear Multigrid Optimization for Bayesian Diffusion Tomography. | Jong Chul Ye, Charles A. Bouman, Rick P. Millane, Kevin J. Webb |
| 1998 | ICIP | Optimal Parameter Updating for Optical Diffusion Imaging. | Jong Chul Ye, Kevin J. Webb, Rick P. Millane, Thomas J. Downar |