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jeongsol-kim/README.md

πŸ˜„ Hi, I'm a 4th years Ph.D student at Korea Advanced Inst. of Science & Technology (KAIST).


πŸ“– 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.

πŸ‘Š Main programming language is Python. Love Pytorch and JAX by google.

πŸ’‘ Focusing on easy-to-use, easy-to-read code.

πŸ”Ž Visit my website if you're interested in :)

πŸ“š For the recent publications, please visit my google scholar.


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  1. CFGpp-diffusion/CFGpp Public

    Official repository for "CFG++: manifold-constrained classifier free guidance for diffusion models" (ICLR2025)

    Python 193 6

  2. TReg-inverse/TReg Public

    Official repository for "Regularization by Texts for Latent Diffusion Inverse Solvers" (ICLR2025 spotlight)

    Python 11

  3. DreamSampler/dream-sampler Public

    The official repository for DreamSampler (ECCV24)

    Python 34 1

  4. EnergyAttention/Energy-Based-CrossAttention Public

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

    Python 48 3

  5. BlindDPS/blind-dps Public

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

    Python 113 13

  6. DPS2022/diffusion-posterior-sampling Public

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

    Python 490 60