Seunghoi Kim

An official repository for "Mitigating Hallucination from Conditional Models for MRI Reconstruction with DynamicDPS" (MICCAI 2025 Early Accept)

Official code for 'Tackling Structural Hallucination in Image Translation with Local Diffusion' (ECCV'24 Oral)

A repository for various 3D point cloud networks including PointNet, DGCNN and PointCNN...

An official repository for 'A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI' presented at NeurIPS DGM4H 2023

Image labelling tool using PyQT. Originally developed to label image restoration tasks.

GAGCN: Generative Adversarial Graph Convolutional Network for 3D Point Cloud Semantic Segmentation

Repository for various diffusion inverse problem solvers

Official implementation of ReSample (https://arxiv.org/abs/2307.08123)

Emopain dataset

Official Implementation of Rectified Flow (ICLR2023 Spotlight)

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

No description provided.

Adversarial Graph Convolutional Network for 3D point cloud segmentation

Implementation of Multi-view CNN for 3D classification evaluated on MoodleNet40 dataset.

One-class learning project for anomaly detection using real industrial dataset

Learnable-Pooling

Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Code release for the paper Generative Modeling With Inverse Heat Dissipation

This repository seeks to investigate the usage of Cascades of Convolutional Neural Networks for Magnetic Resonance Image reconstruction.

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis

No description provided.

🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

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Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Text classification using BBC dataset from Kaggle

A collection of resources and papers on Diffusion Models

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