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😄 Hello, I'm Hyungjin Chung, Ph.D student in BISPL, Korea Advanced Inst. of Science & Technology (KAIST).


👊 Diffusion models for inverse problems enthusiast. Check out my recent works and repositories!


Recent activities



Hyungjin Chung's Projects

cddb icon cddb

Official PyTorch implementation of [Direct Diffusion Bridge using Data Consistency for Inverse Problems](https://arxiv.org/abs/2305.19809)

dds icon dds

Official PyTorch implementation for Decomposed Diffusion Sampling (DDS), presented in the paper "Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems" (https://arxiv.org/abs/2303.05754).

deepinv icon deepinv

PyTorch library for solving imaging inverse problems using deep learning

diffusion-posterior-sampling icon diffusion-posterior-sampling

Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems", ICLR 2023(*spotlight*)

diffusionmbir icon diffusionmbir

Official PyTorch implementation of the CVPR 2023 paper "Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models (https://arxiv.org/abs/2211.10655)"

mcg_diffusion icon mcg_diffusion

Official PyTorch implementation of the NeurIPS 2022 paper "Improving Diffusion Models for Inverse Problems using Manifold Constraints (https://arxiv.org/abs/2206.00941)"

modulus icon modulus

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

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