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Jeongsol Kim
Jeongsol Kim
KAIST BISPL
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Diffusion posterior sampling for general noisy inverse problems
H Chung, J Kim, MT Mccann, ML Klasky, JC Ye
arXiv preprint arXiv:2209.14687, 2022
2622022
Optimal transport driven CycleGAN for unsupervised learning in inverse problems
B Sim, G Oh, J Kim, C Jung, JC Ye
SIAM Journal on Imaging Sciences 13 (4), 2281-2306, 2020
662020
Federated split task-agnostic vision transformer for COVID-19 CXR diagnosis
S Park, G Kim, J Kim, B Kim, JC Ye
Advances in Neural Information Processing Systems 34, 24617-24630, 2021
412021
Parallel diffusion models of operator and image for blind inverse problems
H Chung, J Kim, S Kim, JC Ye
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
392023
Federated split vision transformer for COVID-19 CXR diagnosis using task-agnostic training
S Park, G Kim, J Kim, B Kim, JC Ye
arXiv preprint arXiv:2111.01338, 2021
262021
Direct diffusion bridge using data consistency for inverse problems
H Chung, J Kim, JC Ye
Advances in Neural Information Processing Systems 36, 2024
92024
Task-agnostic vision transformer for distributed learning of image processing
B Kim, J Kim, JC Ye
IEEE Transactions on Image Processing 32, 203-218, 2022
62022
Energy-based cross attention for bayesian context update in text-to-image diffusion models
GY Park, J Kim, B Kim, SW Lee, JC Ye
Advances in Neural Information Processing Systems 36, 2024
42024
Regularization by Texts for Latent Diffusion Inverse Solvers
J Kim, GY Park, H Chung, JC Ye
arXiv preprint arXiv:2311.15658, 2023
22023
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
J Kim, GY Park, JC Ye
arXiv preprint arXiv:2403.11415, 2024
2024
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