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Modeling Off-Axis Diffraction with Least-Sampling Angular Spectrum Method
A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging
Deep Multi-scale CNN for Dynamic Scene Deblurring
Deep Multi-scale CNN for Dynamic Scene Deblurring
Rank Minimization for Snapshot Compressive Imaging (SCI)
PyTorch code for CVPR2021 paper "Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging"
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".
Pytorch code for the research topic: Deep Unrolling for Computational Spectral Imaging
[Retrained] This repository offers the retrained version of DPDNet when using the training strategy mentioned in DRBNet paper.
[CVPR Oral 2022] PyTorch Implementation for "Learning to Deblur using Light Field Generated and Real Defocused Images"
Tensorflow code of CVPR 2019 paper "Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior"
Pytorch code for CVPR 2021 paper: Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction
GAP-net for Snapshot Compressive Imaging
The official code for the NeurIPS 2021 paper "Gaussian Kernel Mixture Network for Single Image Defocus Deblurring".
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging (CVPR2022)
Holotorch is an optimization framework for differentiable wave-propagation written in PyTorch
Out-of-box Hyperspectral Image Restoration Toolbox and Benchmark
PyTorch codes for reproducing TIP 2019 paper "HyperReconNet: Joint Coded Aperture Optimization and Image Reconstruction for Compressive Hyperspectral Imaging".
[CVPR 2021] Official PyTorch Implementation for "Iterative Filter Adaptive Network for Single Image Defocus Deblurring"
[Retrained] This repository offers the retrained version of KPAC network when using the training strategy mentioned in DRBNet paper.
"Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction" (CVPR 2022) and a Baseline for Spectral Compressive Imaging including our work HDNet, CST, and DAUHST
"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Challenge on Spectral Reconstruction from RGB)
Neumann Network with Recursive Kernels for Single Image Defocus Deblurring, CVPR 2023
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.