Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)

A summary of CASSI reconstruction algorithms, including performance, complexity, paper links and codes.

Holotorch is an optimization framework for differentiable wave-propagation written in PyTorch

This is the open source repository for our IEEE Transactions on Computational Imaging 2022 paper "dO: A differentiable engine for Deep Lens design of computational imaging systems".

Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)

Out-of-box Hyperspectral Image Restoration Toolbox and Benchmark

Benchmarking inverse problem solvers on images

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging (CVPR2022)

Pytorch code for CVPR 2021 paper: Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction

Random miniprojects with pytorch.

A PyTorch port of the Neural 3D Mesh Renderer

Training Deep Neural Networks with binary weights during propagations

Tensorflow code of CVPR 2021 paper "Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction"

Adaptive Weighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images in CVPRW 2020 (Winner of NTIRE Challenge, Oral)

A Python toolkit for pathology image analysis algorithms.

Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI

init

实现okhttp断点上传

课程作业要求做的一个安卓屏保，在ADT上面运行成功。