Ye, Jong Chul

77 publications

NeurIPS 2025 Aligning Text to Image in Diffusion Models Is Easier than You Think Jaa-Yeon Lee, ByungHee Cha, Jeongsol Kim, Jong Chul Ye

ICLRW 2025 Amortized Posterior Sampling with Diffusion Prior Distillation Abbas Mammadov, Hyungjin Chung, Jong Chul Ye

ICML 2025 Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation Soobin Um, Beomsu Kim, Jong Chul Ye

ICLR 2025 CFG++: Manifold-Constrained Classifier Free Guidance for Diffusion Models Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye

NeurIPS 2025 Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye

CVPR 2025 Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI Won Jun Kim, Hyungjin Chung, Jaemin Kim, Sangmin Lee, Byeongsu Sim, Jong Chul Ye

ICCV 2025 FlowDPS : Flow-Driven Posterior Sampling for Inverse Problems Jeongsol Kim, Bryan Sangwoo Kim, Jong Chul Ye

ICCV 2025 Free2Guide: Training-Free Text-to-Video Alignment Using Image LVLM Jaemin Kim, Bryan Sangwoo Kim, Jong Chul Ye

ICLR 2025 Generalized Consistency Trajectory Models for Image Manipulation Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul Ye

NeurIPS 2025 Guided Diffusion Sampling on Function Spaces with Applications to PDEs Jiachen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, Anima Anandkumar

ICCV 2025 Inference-Time Diffusion Model Distillation Geon Yeong Park, Sang Wan Lee, Jong Chul Ye

NeurIPS 2025 InvFusion: Bridging Supervised and Zero-Shot Diffusion for Inverse Problems Noam Elata, Hyungjin Chung, Jong Chul Ye, Tomer Michaeli, Michael Elad

ICML 2025 LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models Jinho Chang, Jong Chul Ye

CVPR 2025 Minority-Focused Text-to-Image Generation via Prompt Optimization Soobin Um, Jong Chul Ye

CVPR 2025 Optical-Flow Guided Prompt Optimization for Coherent Video Generation Hyelin Nam, Jaemin Kim, Dohun Lee, Jong Chul Ye

ICCV 2025 Reangle-a-Video: 4D Video Generation as Video-to-Video Translation Hyeonho Jeong, Suhyeon Lee, Jong Chul Ye

ICLR 2025 Regularization by Texts for Latent Diffusion Inverse Solvers Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye

ICLR 2025 Simple ReFlow: Improved Techniques for Fast Flow Models Beomsu Kim, Yu-Guan Hsieh, Michal Klein, Marco Cuturi, Jong Chul Ye, Bahjat Kawar, James Thornton

ICLR 2025 Solving Video Inverse Problems Using Image Diffusion Models Taesung Kwon, Jong Chul Ye

AAAI 2025 Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye

WACV 2025 Text-to-Image Synthesis for Domain Generalization in Face Anti-Spoofing Naeun Ko, Yonghyun Jeong, Jong Chul Ye

CVPR 2025 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

ICLR 2025 TweedieMix: Improving Multi-Concept Fusion for Diffusion-Based Image/Video Generation Gihyun Kwon, Jong Chul Ye

ICCV 2025 VISION-XL: High Definition Video Inverse Problem Solver Using Latent Image Diffusion Models Taesung Kwon, Jong Chul Ye

ICLR 2025 ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler Serin Yang, Taesung Kwon, Jong Chul Ye

CVPR 2025 VideoGuide: Improving Video Diffusion Models Without Training Through a Teacher's Guide Dohun Lee, Bryan Sangwoo Kim, Geon Yeong Park, Jong Chul Ye

ICMLW 2024 (Deep) Generative Geodesics Beomsu Kim, Michael Anthony Puthawala, Jong Chul Ye, Emanuele Sansone

CVPR 2024 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

CVPR 2024 Contrastive Denoising Score for Text-Guided Latent Diffusion Image Editing Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye

ICLR 2024 Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems Hyungjin Chung, Suhyeon Lee, Jong Chul Ye

ECCV 2024 Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems Hyungjin Chung, Jong Chul Ye

ICML 2024 Defining Neural Network Architecture Through Polytope Structures of Datasets Sangmin Lee, Abbas Mammadov, Jong Chul Ye

ICLR 2024 Don't Play Favorites: Minority Guidance for Diffusion Models Soobin Um, Suhyeon Lee, Jong Chul Ye

ECCV 2024 DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye

ECCV 2024 DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation Jeongsol Kim, Geon Yeong Park, Jong Chul Ye

ICLR 2024 ED-NeRF: Efficient Text-Guided Editing of 3D Scene with Latent Space NeRF Jangho Park, Gihyun Kwon, Jong Chul Ye

ICLR 2024 Ground-a-Video: Zero-Shot Grounded Video Editing Using Text-to-Image Diffusion Models Hyeonho Jeong, Jong Chul Ye

ICLR 2024 LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation Suhyeon Lee, Won Jun Kim, Jinho Chang, Jong Chul Ye

ECCV 2024 OTSeg: Multi-Prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation Kwanyoung Kim, Yujin Oh, Jong Chul Ye

AAAI 2024 Patch-Wise Graph Contrastive Learning for Image Translation Chanyong Jung, Gihyun Kwon, Jong Chul Ye

ICML 2024 Prompt-Tuning Latent Diffusion Models for Inverse Problems Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio

ECCV 2024 Self-Guided Generation of Minority Samples Using Diffusion Models Soobin Um, Jong Chul Ye

CVPR 2024 Self-Supervised Debiasing Using Low Rank Regularization Geon Yeong Park, Chanyong Jung, Sangmin Lee, Jong Chul Ye, Sang Wan Lee

ICLR 2024 Unpaired Image-to-Image Translation via Neural Schrödinger Bridge Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye

CVPR 2024 VMC: Video Motion Customization Using Temporal Attention Adaption for Text-to-Video Diffusion Models Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye

ICML 2023 Denoising MCMC for Accelerating Diffusion-Based Generative Models Beomsu Kim, Jong Chul Ye

ICLR 2023 Diffusion Adversarial Representation Learning for Self-Supervised Vessel Segmentation Boah Kim, Yujin Oh, Jong Chul Ye

ICLR 2023 Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung, Jeongsol Kim, Michael Thompson Mccann, Marc Louis Klasky, Jong Chul Ye

ICLR 2023 Diffusion-Based Image Translation Using Disentangled Style and Content Representation Gihyun Kwon, Jong Chul Ye

NeurIPS 2023 Direct Diffusion Bridge Using Data Consistency for Inverse Problems Hyungjin Chung, Jeongsol Kim, Jong Chul Ye

NeurIPS 2023 Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye

ICCV 2023 Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye

ICML 2023 Minimizing Trajectory Curvature of ODE-Based Generative Models Sangyun Lee, Beomsu Kim, Jong Chul Ye

CVPR 2023 Parallel Diffusion Models of Operator and Image for Blind Inverse Problems Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye

CVPR 2023 Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc L. Klasky, Jong Chul Ye

CVPR 2023 Training Debiased Subnetworks with Contrastive Weight Pruning Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye

ICCV 2023 Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer Serin Yang, Hyunmin Hwang, Jong Chul Ye

CVPR 2022 CLIPstyler: Image Style Transfer with a Single Text Condition Gihyun Kwon, Jong Chul Ye

ECCV 2022 CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation Yujin Oh, Jong Chul Ye

CVPR 2022 Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction Hyungjin Chung, Byeongsu Sim, Jong Chul Ye

ECCV 2022 DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model Boah Kim, Inhwa Han, Jong Chul Ye

CVPR 2022 DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim, Taesung Kwon, Jong Chul Ye

NeurIPS 2022 Energy-Based Contrastive Learning of Visual Representations Beomsu Kim, Jong Chul Ye

CVPR 2022 Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks Chanyong Jung, Gihyun Kwon, Jong Chul Ye

NeurIPS 2022 Improving Diffusion Models for Inverse Problems Using Manifold Constraints Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye

CVPR 2022 Noise Distribution Adaptive Self-Supervised Image Denoising Using Tweedie Distribution and Score Matching Kwanyoung Kim, Taesung Kwon, Jong Chul Ye

NeurIPSW 2022 Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis Sangyun Lee, Hyungjin Chung, Jaehyeon Kim, Jong Chul Ye

ICCV 2021 Diagonal Attention and Style-Based GAN for Content-Style Disentanglement in Image Generation and Translation Gihyun Kwon, Jong Chul Ye

NeurIPS 2021 Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye

NeurIPS 2021 Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention Byung-Hoon Kim, Jong Chul Ye, Jae-Jin Kim

NeurIPS 2021 Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising Without Clean Images Kwanyoung Kim, Jong Chul Ye

ECCVW 2020 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

CVPRW 2020 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, P. S Hrishikesh, Densen Puthussery, C. V. Jiji

ECCVW 2020 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

ICML 2019 Understanding Geometry of Encoder-Decoder CNNs Jong Chul Ye, Woon Kyoung Sung

CVPRW 2017 Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification Woong Bae, Jaejun Yoo, Jong Chul Ye

CVPRW 2017 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, Cristóvão 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