[CVPR'24] DPU: Dual Prior Unfolding for Snapshot Compressive Imaging

A concise but complete full-attention transformer with a set of promising experimental features from various papers

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

ASTRA Tomography Toolbox

Solution of the NTIRE 2024 Challenge on Efficient Super-Resolution

[TIP'24] RCUMP: Residual Completion Unrolling with Mixed Priors for Snapshot Compressive Imaging

"Awesome-DL-based-CS-MRI" is a curated collection of resources, tools, and research papers related to deep learning-based Compressed Sensing in Magnetic Resonance Imaging (CS-MRI). It's a valuable …

Li, Chenyu, Bing Zhang, Danfeng Hong, Jun Zhou, Gemine Vivone, Shutao Li, and Jocelyn Chanussot. "CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging." Information…

Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction (IEEE/CAA Journal of Automatica Sinica 24)

a CNN for anatomy-guided deconvolution and denoising of PET images

Official Implementation of the CVPR'24 paper: SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法…

Pytorch implementation of MS-SSIM L1 Loss function

Official code for Score-Based Generative Models for PET Image Reconstruction (MELBA)

Collection of papers on state-space models

Code of the paper "Degradation Estimation Recurrent Neural Network with Local and Non-Local Priors for Compressive Spectral Imaging"

PyTorch library for solving imaging inverse problems using deep learning

Simulator for Coded Aperture Spectral Snapshot Imaging

TV denoising using Bregman bias correction techniques for different noise models

Havard Medical Image Fusion Datasets CT-MRI PET-MRI SPECT-MRI