MaxtBIT's repositories
Summary-of-Codes-for-HSI-Reconstruction
A summary of CASSI reconstruction algorithms, including performance, complexity, paper links and codes.
HyperReconNet
PyTorch codes for reproducing TIP 2019 paper "HyperReconNet: Joint Coded Aperture Optimization and Image Reconstruction for Compressive Hyperspectral Imaging".
ASASM
Modeling Off-Axis Diffraction with Least-Sampling Angular Spectrum Method
CAE-SRN
A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging
DeepDeblur-PyTorch
Deep Multi-scale CNN for Dynamic Scene Deblurring
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"
DPDNet
[Retrained] This repository offers the retrained version of DPDNet when using the training strategy mentioned in DRBNet paper.
DRBNet
[CVPR Oral 2022] PyTorch Implementation for "Learning to Deblur using Light Field Generated and Real Defocused Images"
DTLP
Pytorch code for CVPR 2021 paper: Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction
GKMNet
The official code for the NeurIPS 2021 paper "Gaussian Kernel Mixture Network for Single Image Defocus Deblurring".
holotorch
Holotorch is an optimization framework for differentiable wave-propagation written in PyTorch
HSIR
Out-of-box Hyperspectral Image Restoration Toolbox and Benchmark
IFAN
[CVPR 2021] Official PyTorch Implementation for "Iterative Filter Adaptive Network for Single Image Defocus Deblurring"
KPAC-Net
[Retrained] This repository offers the retrained version of KPAC network when using the training strategy mentioned in DRBNet paper.
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)
NRKNet
Neumann Network with Recursive Kernels for Single Image Defocus Deblurring, CVPR 2023
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"
Restormer
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
SCI-algorithms
reconstruction algorithms for snapshot compressive imaging