Skip to content
View jeongsol-kim's full-sized avatar
22 followers · 14 following

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

Block or report jeongsol-kim

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jeongsol-kim/README.md

header


😄 Hello, I'm a 3rd years Ph.D student at Korea Advanced Inst. of Science & Technology (KAIST).


📖 My primary research focus is the diffusion model. I've solved image manipulation, generation and inverse problems by regulating the diffusion sampling process. Currently, I'm expanding my interests to flow-based models.

👊 Main programming language is Python. Love Pytorch and JAX by google.

💡 Focusing on easy-to-use, easy-to-read code.

🔎 Visit my website if you're interested in :)


Recent activities




Recent Publications

[Preprint] CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

H Chung*, J Kim*, GY Park*, H Nam*, JC Ye

[ECCV 2024] Blind image deblurring with noise-robust kernel estimation

C Lee, J Kim, S Lee, J Jung, Y Cho, T Kim, T Jo, M Lee, M Jang

[ECCV 2024] DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation

J Kim*, GY Park*, JC Ye

[Preprint] Regularization by Texts for Latent Diffusion Inverse Solvers

J Kim*, GY Park*, H Chung, JC Ye

[NeurIPS 2023] Direct diffusion bridge using data consistency for inverse problems

H Chung, J Kim, JC Ye

[NeurIPS 2023] Energy-based cross attention for bayesian context update in text-to-image diffusion models

GY Park*, J Kim*, B Kim, SW Lee, JC Ye

[CVPR 2023] Parallel diffusion models of operator and image for blind inverse problems

H Chung*, J Kim*, S Kim, JC Ye

[ICLR 2023] Diffusion posterior sampling for general noisy inverse problems (spotlight)

H Chung*, J Kim*, MT Mccann, ML Klasky, JC Ye

(* Equal contribution)

Pinned Loading

  1. CFGpp-diffusion/CFGpp CFGpp-diffusion/CFGpp Public

    Official repository for "CFG++: manifold-constrained classifier free guidance for diffusion models"

    Python 168 5

  2. EnergyAttention/Energy-Based-CrossAttention EnergyAttention/Energy-Based-CrossAttention Public

    The official repository of "Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models".

    Python 47 3

  3. BlindDPS/blind-dps BlindDPS/blind-dps Public

    An official pytorch implementation of "Parallel Diffusion Model of Operator and Image for Blind Inverse Problems" (CVPR 2023)

    Python 106 11

  4. DPS2022/diffusion-posterior-sampling DPS2022/diffusion-posterior-sampling Public

    Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

    Python 427 47

  5. DreamSampler/dream-sampler DreamSampler/dream-sampler Public

    The official repository for DreamSampler (ECCV24)

    Python 23 1

  6. phase_retrieval_algorithms phase_retrieval_algorithms Public

    Pytorch implementation for Error Reduction algorithm and Hybrid input-output algorithm.

    Python 10 1