ML Anthology
Authors
Search
About
Kim, Jeongsol
13 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
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
ICCV
2025
FlowDPS : Flow-Driven Posterior Sampling for Inverse Problems
Jeongsol 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
ICLR
2025
Regularization by Texts for Latent Diffusion Inverse Solvers
Jeongsol Kim
,
Geon Yeong Park
,
Hyungjin Chung
,
Jong Chul Ye
ECCV
2024
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
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
Jeongsol Kim
,
Geon Yeong Park
,
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
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
CVPR
2023
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems
Hyungjin Chung
,
Jeongsol Kim
,
Sehui Kim
,
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