Jiamian-Wang / mask_uncertainty_spectral_SCI
PyTorch code for ECCV 2022 Oral paper "Modeling Mask Uncertainty in Hyperspectral Image Reconstruction"
☆24Updated 2 years ago
Alternatives and similar repositories for mask_uncertainty_spectral_SCI:
Users that are interested in mask_uncertainty_spectral_SCI are comparing it to the libraries listed below
- A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging☆23Updated last year
- Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging, ICCV2021 [PyTorch Code]☆29Updated 3 years ago
- ☆28Updated last year
- Accepted by TMM 2021☆42Updated 2 years ago
- Official Code for Hybrid Spectral Denoising Transformer with Guided Attention (ICCV 2023)☆47Updated last year
- ☆12Updated 2 years ago
- The implementation for the paper "Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Co…☆24Updated last year
- "HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging" (CVPR 2022)☆19Updated 2 years ago
- ☆20Updated 9 months ago
- [TIP2022] Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution☆12Updated 2 years ago
- PyTorch code for CVPR2021 paper "Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging"☆52Updated 2 years ago
- [IEEE TNNLS] A Practical Contrastive Learning Framework for Single Image Super-Resolution☆31Updated 9 months ago
- ☆17Updated 4 years ago
- Official repository for the paper "Stochastic Window Transformer for Image Restoration".☆31Updated 2 years ago
- Pytorch code for our TIP2022 paper "Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations"☆23Updated 2 years ago
- Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]☆104Updated 3 years ago
- Code and models for "Rethinking Deep Image Prior for Denoising" (ICCV 2021)☆50Updated 3 years ago
- Plug-and-Play Algorithms for Video Snapshot Compressive Imaging (TPAMI 2022)☆37Updated 4 years ago
- HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging (CVPR2022)☆45Updated 2 years ago
- Large Kernel Distillation Network for Efficient Single Image Super-Resolution☆35Updated last year
- Tensorflow code of CVPR 2021 paper "Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction"☆19Updated 3 years ago
- This repository is an official PyTorch implementation of our paper "Feature Distillation Interaction Weighting Network for Lightweight Im…☆21Updated last year
- ☆23Updated 3 years ago
- PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).☆51Updated last year
- Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution☆25Updated last year
- Official implementation of T3SC (Neurips 2021)☆29Updated 2 years ago
- This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023☆27Updated last year
- Code of the paper "Degradation Estimation Recurrent Neural Network with Local and Non-Local Priors for Compressive Spectral Imaging"☆14Updated last year
- Dual-Stream Transformer for Hyperspectral Image Restoration☆22Updated last year
- An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"☆34Updated 3 years ago