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junjiehuangicl's Projects

admm_nn icon admm_nn

Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement

basicsr icon basicsr

Open Source Image and Video Restoration Toolbox, especially for Super-Resolution, including EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.

capsnet-tensorflow icon capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

convolt icon convolt

CONVOLT: CONVolutional Operator Learning Toolbox (for Matlab)

dncnn-pytorch icon dncnn-pytorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

double-sparse-coding icon double-sparse-coding

Matlab code for learning doubly sparse dictionary on synthetic data. Details can be found in the paper "A Provable Approach for Double-Sparse Coding".

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

learn-optimizer-rgdn icon learn-optimizer-rgdn

Learning Deep Gradient Descent Optimization for Image Deconvolution. Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang. In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.

linn icon linn

LINN: Lifting Inspired Invertible Neural Network for Image Denoising

mixest icon mixest

MixEst: A MATLAB toolbox for mixture-model parameter estimation

mswnnm icon mswnnm

Multi-Scale Weighted Nuclear Norm Image Restoration

noise2noise icon noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

returnofgating icon returnofgating

Code used in the paper: "The Return of the Gating Network: combining generative models and discriminative training in natural image priors" by Dan Rosenbaum and Yair Weiss

web icon web

The homepage of Junjie Huang

xunit icon xunit

Learning a Spatial Activation Function for Efficient Image Restoration

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