maxtbit Goto Github PK

asasm

Modeling Off-Axis Diffraction with Least-Sampling Angular Spectrum Method

awesome-deep-optics

birnat

cae-srn

A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging

deepdeblur-pytorch

Deep Multi-scale CNN for Dynamic Scene Deblurring

deepdeblur_release

Deep Multi-scale CNN for Dynamic Scene Deblurring

desci

Rank Minimization for Snapshot Compressive Imaging (SCI)

dgsmp

PyTorch code for CVPR2021 paper "Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging"

diffoptics

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".

dnu

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

dssp

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

dtlp

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

gap-ccot

gap-net

GAP-net for Snapshot Compressive Imaging

herosnet

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

holotorch

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

hsir

Out-of-box Hyperspectral Image Restoration Toolbox and Benchmark

hyperreconnet

PyTorch codes for reproducing TIP 2019 paper "HyperReconNet: Joint Coded Aperture Optimization and Image Reconstruction for Compressive Hyperspectral Imaging".

id-blau

lambda-net

lambda_pytorch

mst

"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-plus-plus

"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Challenge on Spectral Reconstruction from RGB)

paperwriting

path-restore

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

pnp-dip-hsi

pnp-hsi

Python(pytorch) code for the paper: Siming Zheng, Yang Liu, Ziyi Meng, Mu Qiao, Zhishen Tong, Xiaoyu Yang, Shensheng Han, and Xin Yuan, "Deep plug-and-play priors for spectral snapshot compressive imaging," Photon. Res. 9, B18-B29 (2021)

pnp-sci

Plug-and-play Algorithms for Large-scale Snapshot Compressive Imaging (CVPR 2020, Oral)

quantizationawaredeepoptics

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

rdluf_mixs2

The implementation for the paper "Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging"