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2020 – today
- 2024
[c7]Chanseok Lee
, Jeongsol Kim, Seungmin Lee, Jaehwang Jung, Yunje Cho, Taejoong Kim, Taeyong Jo, Myungjun Lee, Mooseok Jang:
Blind Image Deblurring with Noise-Robust Kernel Estimation. ECCV (20) 2024: 188-204- [c6]Jeongsol Kim, Geon Yeong Park, Jong Chul Ye:
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation. ECCV (82) 2024: 398-414 - [i9]Jeongsol Kim, Geon Yeong Park, Jong Chul Ye:
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation. CoRR abs/2403.11415 (2024) - [i8]Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul Ye:
Generalized Consistency Trajectory Models for Image Manipulation. CoRR abs/2403.12510 (2024) - [i7]Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye:
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. CoRR abs/2406.08070 (2024) - 2023
- [j2]Boah Kim, Jeongsol Kim, Jong Chul Ye:
Task-Agnostic Vision Transformer for Distributed Learning of Image Processing. IEEE Trans. Image Process. 32: 203-218 (2023) - [c5]Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye:
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. CVPR 2023: 6059-6069 - [c4]Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye:
Diffusion Posterior Sampling for General Noisy Inverse Problems. ICLR 2023 - [c3]Hyungjin Chung, Jeongsol Kim, Jong Chul Ye:
Direct Diffusion Bridge using Data Consistency for Inverse Problems. NeurIPS 2023 - [c2]Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye:
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. NeurIPS 2023 - [i6]Hyungjin Chung, Jeongsol Kim, Jong Chul Ye:
Direct Diffusion Bridge using Data Consistency for Inverse Problems. CoRR abs/2305.19809 (2023) - [i5]Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye:
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. CoRR abs/2306.09869 (2023) - [i4]Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye:
Regularization by Texts for Latent Diffusion Inverse Solvers. CoRR abs/2311.15658 (2023) - 2022
- [i3]Hyungjin Chung, Jeongsol Kim, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye:
Diffusion Posterior Sampling for General Noisy Inverse Problems. CoRR abs/2209.14687 (2022) - [i2]Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye:
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. CoRR abs/2211.10656 (2022) - 2021
- [c1]Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye:
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis. NeurIPS 2021: 24617-24630 - [i1]Sangjoon Park, Gwanghyun Kim, Jeongsol Kim, Boah Kim, Jong Chul Ye:
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training. CoRR abs/2111.01338 (2021) - 2020
- [j1]Byeongsu Sim, Gyutaek Oh, Jeongsol Kim, Chanyong Jung, Jong Chul Ye:
Optimal Transport Driven CycleGAN for Unsupervised Learning in Inverse Problems. SIAM J. Imaging Sci. 13(4): 2281-2306 (2020)
Coauthor Index
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