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A very simple implementation of cyclegan, which is based on pytorch.
Real-time image warping based on 2D cubic B-spline free-form deformations, and sketch generation based on edge detection filters
collection of diffusion model papers categorized by their subareas
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
CVPR2022: Meta-attention for ViT-backed Continual Learning
A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Software to generate 2D/3D/4D analytical phantoms and their Radon transforms (parallel beam) for image processing
AI/DL scripts to remove stripe artifacts from the tomographic data
TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox
[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.
Thick-slice simulation in Multi-Slice Helical CT
Computational Tomography in PyTorch
The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations) to date.
Official Repository of NeurIPS 2023 - MedFM Challenge
MedLSAM: Localize and Segment Anything Model for 3D Medical Images
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
MATLAB simulation for computed tomography image reconstruction using filtered back projection.
Python program and GUI to reconstruct CT image
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
[ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution
Collection of popular and reproducible image denoising works.
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
High-Quality Self-Supervised Deep Image Denoising - Unofficial PyTorch implementation of the NeurIPS 2019 paper