Jeongsol Kim

According to our database, Jeongsol Kim authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing.

Jeongsol Kim, Yeobin Hong, Jong Chul Ye

CoRR, May, 2025

Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment.

Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye

CoRR, May, 2025

Aligning Text to Image in Diffusion Models is Easier Than You Think.

Jaa-Yeon Lee, Byunghee Cha, Jeongsol Kim, Jong Chul Ye

CoRR, March, 2025

FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems.

Jeongsol Kim, Bryan Sangwoo Kim, Jong Chul Ye

CoRR, March, 2025

Regularization by Texts for Latent Diffusion Inverse Solvers.

Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Generalized Consistency Trajectory Models for Image Manipulation.

Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul Ye

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.

Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Latent Schrodinger Bridge: Prompting Latent Diffusion for Fast Unpaired Image-to-Image Translation.

Jeongsol Kim, Beomsu Kim, Jong Chul Ye

CoRR, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation.

Jeongsol Kim, Geon Yeong Park, Jong Chul Ye

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Task-Agnostic Vision Transformer for Distributed Learning of Image Processing.

Boah Kim, Jeongsol Kim, Jong Chul Ye

IEEE Trans. Image Process., 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Direct Diffusion Bridge using Data Consistency for Inverse Problems.

Hyungjin Chung, Jeongsol Kim, Jong Chul Ye

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Posterior Sampling for General Noisy Inverse Problems.

Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems.

Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training.

Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye

CoRR, 2021

Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis.

Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems.

Byeongsu Sim, Gyutaek Oh, Jeongsol Kim, Chanyong Jung, Jong Chul Ye

SIAM J. Imaging Sci., 2020