Publications
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Adjoint Guidance Flow: Amortized Critic Guidance for VLA Policies
Adjoint Guidance Flow: Amortized Critic Guidance for VLA Policies
Jeongsol Kim, Youngjun Jun, Kyumin Choi, Youngmin Kim, Seonghyun Jin Sunwoo Park, Jangho Park, Kwanyoung Kim†, Jong Chul Ye†
NeurIPS 2026 Workshop on Robot Learning
Accelerated Image Editing via Consistency-Aware Source Token Pruning
Accelerated Image Editing via Consistency-Aware Source Token Pruning
Jeongsol Kim, Jong Chul Ye, Yufei Wang†, Jian Wang†
NeurIPS 2026
Reward Score Matching: Unifying Reward-based Fine-tuning of Flow and Diffusion Models
Reward Score Matching: Unifying Reward-based Fine-tuning of Flow and Diffusion Models
Jeongjae Lee*, Jinho Jang*, Jeongsol Kim†, Jong Chul Ye†
ICML 2026 Workshop SPIGM (Best Paper Award) / NeurIPS 2026
FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing
FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing
Jeongsol Kim*, Yeobin Hong*, Jonghyun Park, Jong Chul Ye
ICLR 2026
Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye
NeurIPS 2025 (Spotlight)
Aligning text to Aligning Text to Image in Diffusion Models is Easier Than You Think
Aligning text to Aligning Text to Image in Diffusion Models is Easier Than You Think
Jaa-Yeon Lee*,Byunghee Cha*,Jeongsol Kim,Jong Chul Ye
NeurIPS 2025
FlowDPS: Flow-driven posterior sampling for inverse problems
FlowDPS: Flow-driven posterior sampling for inverse problems
Jeongsol Kim*, Bryan Sangwoo Kim*, Jong Chul Ye
ICCV 2025
Regularization by texts for latent diffusion inverse solvers
Regularization by texts for latent diffusion inverse solvers
Jeongsol Kim*, Geon Yeong Park*, Hyungjin Chung, Jong Chul Ye
ICLR 2025 (spotlight, top 5%)
Cfg++: Manifold-constrained classifier free guidance for diffusion models
Cfg++: Manifold-constrained classifier free guidance for diffusion models
Hyungjin Chung*, Jeongsol Kim*, Geon Yeong Park*, Hylin Nam*, Jong Chul Ye
ICLR 2025 (poster)
Generalized Consistency Trajectory Models for Image Manipulation
Generalized Consistency Trajectory Models for Image Manipulation
Beomsu Kim*, Jaemin Kim*, Jeongsol Kim, Jong Chul Ye
ICLR 2025 (poster)
Dreamsampler: Unifying diffusion sampling and score distillation for image manipulation
Dreamsampler: Unifying diffusion sampling and score distillation for image manipulation
Jeongsol Kim*, Geon Yeong Park*, Jong Chul Ye
ECCV 2024 (poster)
Blind Image Deblurring with Noise-Robust Kernel Estimation
Blind Image Deblurring with Noise-Robust Kernel Estimation
Chanseok Lee, Jeongsol Kim, Seungmin Lee, Jaehwang Jung, Yunje Cho, Taejoong Kim, Taeyong Jo, Myungjun Lee, Mooseok Jang
ECCV 2024 (poster)
Energy-based cross attention for bayesian context update in text-to-image diffusion models
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
NeurIPS 2023 (poster)
Direct diffusion bridge using data consistency for inverse problems
Direct diffusion bridge using data consistency for inverse problems
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
NeurIPS 2023 (poster)
Parallel diffusion models of operator and image for blind inverse problems
Parallel diffusion models of operator and image for blind inverse problems
Hyungjin Chung*, Jeongsol Kim*, Sehui Kim, Jong Chul Ye
CVPR 2023 (poster)
Diffusion posterior sampling for general noisy inverse problems
Diffusion posterior sampling for general noisy inverse problems
Hyungjin Chung*, Jeongsol Kim*, Michael T Mccann, Marc L Klasky, Jong Chul Ye
ICLR 2023 (spotlight, top 25%)
Task-agnostic vision transformer for distributed learning of image processing
Task-agnostic vision transformer for distributed learning of image processing
Boah Kim*, Jeongsol Kim*, Jong Chul Ye
IEEE Transactions on Image Processing 32, 203-218
Federated split task-agnostic vision transformer for COVID-19 CXR diagnosis
Federated split task-agnostic vision transformer for COVID-19 CXR diagnosis
Sangjoon Park*, Gwanghyun Kim*, Jeongsol Kim, Boah Kim, Jong Chul Ye
NeurIPS 2021 (poster)
Optimal transport driven CycleGAN for unsupervised learning in inverse problems
Optimal transport driven CycleGAN for unsupervised learning in inverse problems
Byeongsu Sim, Gyutaek Oh, Jeongsol Kim, Chanyong Jung, Jong Chul Ye
SIAM Journal on Imaging Sciences 13 (4), 2281-2306
Preprints
FastOPD: On-Policy Distillation for Lightweight VLA Deployment
FastOPD: On-Policy Distillation for Lightweight VLA Deployment
Yoojin Oh*, Jeongsol Kim*, Yeonwoo Seo, Jangho Park, Seonghyun Jin, Sunwoo Park, Youngmin Kim, Youngjun Jun, Kyumin Choi, Jong Chul Ye
arxiv preprint
Gradient-Free Noise Optimization for Reward Alignment in Generative Models
Gradient-Free Noise Optimization for Reward Alignment in Generative Models
Jeongsol Kim*, Hongeun Kim*, Jian Wang, Jong Chul Ye
arxiv preprint
Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image Translation
Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image Translation
Jeongsol Kim*, Beomsu Kim*, Jong Chul Ye
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