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Jong Chul Ye
47 papers at tracked venues · 37 at CORE A* · active 2024–2026
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Venues
ICLR
×13
CVPR
×9
ECCV
×5
ICCV
×5
ICML
×4
NeurIPS
×4
MICCAI
×3
AAAI
×2
WACV
×2
Frequent coauthors
Geon Yeong Park
×11
Jeongsol Kim
×9
Hyungjin Chung
×7
Hyeonho Jeong
×6
Gihyun Kwon
×6
Soobin Um
×4
Beomsu Kim
×4
Bryan Sangwoo Kim
×4
Jaemin Kim
×4
Suhyeon Lee
×4
Hyelin Nam
×3
Sang Wan Lee
×3
Papers
DreamMakeup: Face Makeup Customization using Latent Diffusion Models
BibTeX ⧉
WACV 2026
·
Geon Yeong Park
,
Inhwa Han
,
Serin Yang
,
Yeobin Hong
,
Seongmin Jeong
,
Heechan Jeon
,
Myeongjin Goh
,
Sung Won Yi
,
Jin Nam
,
Jong Chul Ye
A 3D Vision Transformer Trained with Synthetic and Real MRI Data for Enhancing ULF-MRI
BibTeX ⧉
MICCAI 2025
·
Peter Hsu
,
Jeongsol Kim
,
Daniel K. Sodickson
,
Jong Chul Ye
,
Patricia Johnson
,
Jelle Veraart
Aligning Text to Image in Diffusion Models is Easier Than You Think
BibTeX ⧉
NeurIPS 2025
·
Jaa-Yeon Lee
,
Byunghee Cha
,
Jeongsol Kim
,
Jong Chul Ye
Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation
BibTeX ⧉
ICML 2025
·
Soobin Um
,
Beomsu Kim
,
Jong Chul Ye
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
BibTeX ⧉
ICLR 2025
·
Hyungjin Chung
,
Jeongsol Kim
,
Geon Yeong Park
,
Hyelin Nam
,
Jong Chul Ye
Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
BibTeX ⧉
NeurIPS 2025
·
Bryan Sangwoo Kim
,
Jeongsol Kim
,
Jong Chul Ye
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
BibTeX ⧉
CVPR 2025
·
Won Jun Kim
,
Hyungjin Chung
,
Jaemin Kim
,
Sangmin Lee
,
Byeongsu Sim
,
Jong Chul Ye
FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
BibTeX ⧉
ICCV 2025
·
Jeongsol Kim
,
Bryan Sangwoo Kim
,
Jong Chul Ye
Free2 Guide: Training-Free Text-to-Video Alignment Using Image LVLM
BibTeX ⧉
ICCV 2025
·
Jaemin Kim
,
Bryan Sangwoo Kim
,
Jong Chul Ye
Generalized Consistency Trajectory Models for Image Manipulation
BibTeX ⧉
ICLR 2025
·
Beomsu Kim
,
Jaemin Kim
,
Jeongsol Kim
,
Jong Chul Ye
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
BibTeX ⧉
NeurIPS 2025
·
Jiachen Yao
,
Abbas Mammadov
,
Julius Berner
,
Gavin Kerrigan
,
Jong Chul Ye
,
Kamyar Azizzadenesheli
,
Animashree Anandkumar
Inference-Time Diffusion Model Distillation
BibTeX ⧉
ICCV 2025
·
Geon Yeong Park
,
Sang Wan Lee
,
Jong Chul Ye
InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems
BibTeX ⧉
NeurIPS 2025
·
Noam Elata
,
Hyungjin Chung
,
Jong Chul Ye
,
Tomer Michaeli
,
Miki Elad
LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models
BibTeX ⧉
ICML 2025
·
Jinho Chang
,
Jong Chul Ye
Minority-Focused Text-to-Image Generation via Prompt Optimization
BibTeX ⧉
CVPR 2025
·
Soobin Um
,
Jong Chul Ye
Optical-Flow Guided Prompt Optimization for Coherent Video Generation
BibTeX ⧉
CVPR 2025
·
Hyelin Nam
,
Jaemin Kim
,
Dohun Lee
,
Jong Chul Ye
Reangle-A-Video: 4D Video Generation as Video-to-Video Translation
BibTeX ⧉
ICCV 2025
·
Hyeonho Jeong
,
Suhyeon Lee
,
Jong Chul Ye
Regularization by Texts for Latent Diffusion Inverse Solvers
BibTeX ⧉
ICLR 2025
·
Jeongsol Kim
,
Geon Yeong Park
,
Hyungjin Chung
,
Jong Chul Ye
Simple ReFlow: Improved Techniques for Fast Flow Models
BibTeX ⧉
ICLR 2025
·
Beomsu Kim
,
Yu-Guan Hsieh
,
Michal Klein
,
Marco Cuturi
,
Jong Chul Ye
,
Bahjat Kawar
,
James Thornton
Solving Video Inverse Problems Using Image Diffusion Models
BibTeX ⧉
ICLR 2025
·
Taesung Kwon
,
Jong Chul Ye
Spectral Motion Alignment for Video Motion Transfer Using Diffusion Models
BibTeX ⧉
AAAI 2025
·
Geon Yeong Park
,
Hyeonho Jeong
,
Sang Wan Lee
,
Jong Chul Ye
Text-to-Image Synthesis for Domain Generalization in Face Anti-Spoofing
BibTeX ⧉
WACV 2025
·
Naeun Ko
,
Yonghyun Jeong
,
Jong Chul Ye
Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation
BibTeX ⧉
CVPR 2025
·
Hyeonho Jeong
,
Chun-Hao P. Huang
,
Jong Chul Ye
,
Niloy J. Mitra
,
Duygu Ceylan
TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation
BibTeX ⧉
ICLR 2025
·
Gihyun Kwon
,
Jong Chul Ye
Ultra-Low-Field Brain MRI Enhancement Using a Slice-Based Vision Transformer
BibTeX ⧉
MICCAI 2025
·
Peter Hsu
,
Jeongsol Kim
,
Daniel K. Sodickson
,
Jong Chul Ye
,
Patricia Johnson
,
Jelle Veraart
Ultra-Low-Field Brain MRI Enhancement using Resfusion and Residual Artifact Suppression Network
BibTeX ⧉
MICCAI 2025
·
Youngmin Kim
,
Jeongchan Kim
,
Taehoon Lee
,
Jaeyun Shin
,
Suhyeon Lee
,
Jong Chul Ye
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models
BibTeX ⧉
ICCV 2025
·
Taesung Kwon
,
Jong Chul Ye
ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler
BibTeX ⧉
ICLR 2025
·
Serin Yang
,
Taesung Kwon
,
Jong Chul Ye
VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide
BibTeX ⧉
CVPR 2025
·
Dohun Lee
,
Bryan Sangwoo Kim
,
Geon Yeong Park
,
Jong Chul Ye
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models
BibTeX ⧉
CVPR 2024
·
Gihyun Kwon
,
Simon Jenni
,
Dingzeyu Li
,
Joon-Young Lee
,
Jong Chul Ye
,
Fabian Caba Heilbron
Contrastive Denoising Score for Text-Guided Latent Diffusion Image Editing
BibTeX ⧉
CVPR 2024
·
Hyelin Nam
,
Gihyun Kwon
,
Geon Yeong Park
,
Jong Chul Ye
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
BibTeX ⧉
ICLR 2024
·
Hyungjin Chung
,
Suhyeon Lee
,
Jong Chul Ye
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems
BibTeX ⧉
ECCV 2024
·
Hyungjin Chung
,
Jong Chul Ye
Defining Neural Network Architecture through Polytope Structures of Datasets
BibTeX ⧉
ICML 2024
·
Sangmin Lee
,
Abbas Mammadov
,
Jong Chul Ye
Don't Play Favorites: Minority Guidance for Diffusion Models
BibTeX ⧉
ICLR 2024
·
Soobin Um
,
Suhyeon Lee
,
Jong Chul Ye
DreamMotion: Space-Time Self-similar Score Distillation for Zero-Shot Video Editing
BibTeX ⧉
ECCV 2024
·
Hyeonho Jeong
,
Jinho Chang
,
Geon Yeong Park
,
Jong Chul Ye
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
BibTeX ⧉
ECCV 2024
·
Jeongsol Kim
,
Geon Yeong Park
,
Jong Chul Ye
ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF
BibTeX ⧉
ICLR 2024
·
Jangho Park
,
Gihyun Kwon
,
Jong Chul Ye
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
BibTeX ⧉
ICLR 2024
·
Hyeonho Jeong
,
Jong Chul Ye
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
BibTeX ⧉
ICLR 2024
·
Suhyeon Lee
,
Won Jun Kim
,
Jinho Chang
,
Jong Chul Ye
OTSeg: Multi-Prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation
BibTeX ⧉
ECCV 2024
·
Kwanyoung Kim
,
Yujin Oh
,
Jong Chul Ye
Patch-Wise Graph Contrastive Learning for Image Translation
BibTeX ⧉
AAAI 2024
·
Chanyong Jung
,
Gihyun Kwon
,
Jong Chul Ye
Prompt-tuning Latent Diffusion Models for Inverse Problems
BibTeX ⧉
ICML 2024
·
Hyungjin Chung
,
Jong Chul Ye
,
Peyman Milanfar
,
Mauricio Delbracio
Self-Guided Generation of Minority Samples Using Diffusion Models
BibTeX ⧉
ECCV 2024
·
Soobin Um
,
Jong Chul Ye
Self-Supervised Debiasing Using Low Rank Regularization
BibTeX ⧉
CVPR 2024
·
Geon Yeong Park
,
Chanyong Jung
,
Sangmin Lee
,
Jong Chul Ye
,
Sang Wan Lee
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
BibTeX ⧉
ICLR 2024
·
Beomsu Kim
,
Gihyun Kwon
,
Kwanyoung Kim
,
Jong Chul Ye
VMC: Video Motion Customization Using Temporal Attention Adaption for Text-to-Video Diffusion Models
BibTeX ⧉
CVPR 2024
·
Hyeonho Jeong
,
Geon Yeong Park
,
Jong Chul Ye