wang-lizhi

deepcassi

[SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior

DeepNonlocalUnrolling

Pytorch code for the research topic: Deep Unrolling for Computational Spectral Imaging

DeepVideoCS

PyTorch deep learning framework for video compressive sensing.

DeSCI

Rank Minimization for Snapshot Compressive Imaging (SCI)

DSSP

Tensorflow code of CVPR 2019 paper "Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior"

DTLP

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

DTLP_Pytorch

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

IRCNN

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017)

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

QuantizationAwareDeepOptics

Code for the CVPR 2022 paper "Quantization-aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging".

wang-lizhi/QuantizationAwareDeepOptics

Code for the CVPR 2022 paper "Quantization-aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging".

wang-lizhi/DeepNonlocalUnrolling

Pytorch code for the research topic: Deep Unrolling for Computational Spectral Imaging

wang-lizhi/DTLP_Pytorch

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

wang-lizhi/DSSP

Tensorflow code of CVPR 2019 paper "Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior"

wang-lizhi/deepcassi

[SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior

wang-lizhi/DeSCI

Rank Minimization for Snapshot Compressive Imaging (SCI)

wang-lizhi/DTLP

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

wang-lizhi/IRCNN

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017)

wang-lizhi/mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

wang-lizhi/NonSerialQuantizationAwareDeepOptics

Code for the paper "Non-Serial Quantization-aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging".

wang-lizhi/Tasks_for_Rookies

视觉实验室新手任务

wang-lizhi/DeepVideoCS

PyTorch deep learning framework for video compressive sensing.

wang-lizhi/caffe-windows

Configure Caffe in one hour for Windows users.

wang-lizhi/CSVideoNet

wang-lizhi/D-AMP_Toolbox

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.

wang-lizhi/ffcc

Fast Fourier Color Constancy: an auto white balance solution with machine learning in Fourier space

wang-lizhi/hyperspectral-cs

EE 367 Final Project

wang-lizhi/Image-Denoising-State-of-the-art

wang-lizhi/jonbarron_website

wang-lizhi/MetaSCI-CVPR2021

wang-lizhi/MFIF

Multi-focus image fusion: papers, datasets and results

wang-lizhi/opticalCNN

hybrid optical electronic convolutional neural networks

wang-lizhi/PaperWriting

wang-lizhi/PolyU-Real-World-Noisy-Images-Dataset

Real-world Noisy Image Denoising: A New Benchmark

wang-lizhi/ReconNet

ReconNet: CVPR 2016

wang-lizhi/smits1999

An RGB to Spectrum Conversion for Reflectances

wang-lizhi/TSA-Net

End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention

wang-lizhi/TWSC-ECCV2018

A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018.

wang-lizhi/wang-lizhi.github.io