This is the implementation of the "parameter constrained spectral encoder and decoder (PCSED)" introduced in the paper "Deep-Learned Broadband Encoding Stochastic Filters for Computational Spectros…

Code for thesis in spectral reconstruction

Adaptive Weighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images in CVPRW 2020 (Winner of NTIRE Challenge, Oral)

Source Code of the paper ICCV2021: "Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild"

Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process, a complete algorithm library is es…

Enhancement and Reconstruction of the spectrUm for the MRR-PRRO

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)

Code for Dual spectral reconstruction for nm-resolution microspectrometers

多光谱成像技术

A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)