BoChenGroup / RevSCI-net
☆21Updated 3 years ago
Alternatives and similar repositories for RevSCI-net:
Users that are interested in RevSCI-net are comparing it to the libraries listed below
- ☆16Updated 3 years ago
- PyTorch code for CVPR2021 paper "Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging"☆52Updated last year
- Plug-and-Play Algorithms for Video Snapshot Compressive Imaging (TPAMI 2022)☆35Updated 4 years ago
- Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging, ICCV2021 [PyTorch Code]☆29Updated 3 years ago
- Python (PyTorch) implementation of the AAAI paper "Deep Equilibrium Models for Video Snapshot Compressive Imaging"☆37Updated last year
- Effective Snapshot Compressive-spectral Imaging via Deep Denosing and Total Variation Priors (CVPR 2021)☆22Updated 3 years ago
- ☆29Updated last year
- Plug-and-play Algorithms for Large-scale Snapshot Compressive Imaging (CVPR 2020, Oral)☆61Updated 4 years ago
- PyTorch code for ECCV 2022 Oral paper "Modeling Mask Uncertainty in Hyperspectral Image Reconstruction"☆24Updated 2 years ago
- ☆31Updated last year
- ☆12Updated 2 years ago
- ☆35Updated last year
- Official Code of FBI-Denoiser (Oral, CVPR 2021)☆55Updated 3 years ago
- Patch Craft: Video Denoising by Deep Modeling and Patch Matching (ICCV 2021)☆49Updated 3 years ago
- A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging☆23Updated last year
- GAP-net for Snapshot Compressive Imaging☆16Updated 4 years ago
- Dynamic Attentive Graph Learning for Image Restoration, ICCV2021 [PyTorch Code]☆103Updated 3 years ago
- Dataset with processing code☆44Updated 5 years ago
- Reimplement of Burst Denoising with Kernel Prediction Networks and Multi-Kernel Prediction Networks for Denoising of Image Burst by using…☆12Updated 10 months ago
- Python (PyTorch) code and model of "MANet: Improving Video Denoising with a Multi-Alignment Network"☆10Updated last year
- Code associated with the paper "Deep Optics for Single-shot High-dynamic-range Imaging"☆53Updated 4 years ago
- Deep Learning for Video Compressive Sensing☆51Updated 4 years ago
- An unofficial code for paper "Learning Frequency-aware Dynamic Network for Efficient Super-Resolution"☆34Updated 3 years ago
- Self-supervised training for blind multi-frame video denoising☆27Updated 2 years ago
- ☆26Updated 6 months ago
- Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)☆53Updated 2 years ago
- [ECCV2022] Optimizing Image Compression via Joint Learning with Denoising☆43Updated 2 years ago
- ☆39Updated 4 years ago
- PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"☆56Updated 3 years ago
- PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).☆50Updated last year