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Name: Jian Zhang
Type: User
Blog: https://jianzhang.tech/
Name: Jian Zhang
Type: User
Blog: https://jianzhang.tech/
Matlab Code for Image compressive sensing recovery using adaptively learned sparsifying basis via L0 minimization
Matlab Code for Image Denoising via Bandwise Adaptive Modeling and Regularization Exploiting Nonlocal Similarity
Content-aware Scalable Deep Compressed Sensing (TIP 2022) [PyTorch]
Matlab code for CCR: Clustering and Collaborative Representation for Fast Single Image Super-Resolution
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing, TIP2021 [PyTorch Code]
COLA-Net: Collaborative Attention Network for Image Restoration, TMM2021 (PyTorch Code)
A PyTorch library and evaluation platform for end-to-end compression research
Matlab Code for CONCOLOR: COnstrained Non-COnvex LOw-Rank Model for Image Deblocking, TIP2016
Matlab code for Collaborative Representation Cascade for Single-Image Super-Resolution
Matlab implementation of the CS video reconstruction method RRS
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.
Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]
Official PyTorch implementation for the paper "Zero Shot Image Restoration Using Denoising Diffusion Null-Space Model"
Joint training of denoising and segmentation.
PyTorch code for CVPR2021 paper "Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging"
Matlab Code for Image Super-Resolution via Dual-Dictionary Learning and Sparse Representation
[CVPR2023] EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding
Matlab Code for Entropy of Primitive: From Sparse Representation to Visual Information Evaluation
Matlab code for Group-based Sparse Representation for Image Restoration, TIP2014
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging (CVPR2022)
Official implementation of High-Throughput Deep Unfolding Network for Compressive Sensing MRI
Image deblocking method using structural sparse representation and quantization constraint
Matlab Code for Image Restoration Using Joint Statistical Modeling in a Space-Transform Domain, TCSVT2014
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (Tensorflow Code)
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)
ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing, ICME2021 [PyTorch Code]
Memory-Augmented Deep Unfolding Network for Compressive Sensing(ACMMM 2021)
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.