caiyuanhao1998 / BiSCILinks
A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)
☆56Updated last year
Alternatives and similar repositories for BiSCI
Users that are interested in BiSCI are comparing it to the libraries listed below
Sorting:
- The implementation for the paper "Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Co…☆28Updated 2 years ago
- [CVPR'24] Improving Spectral Snapshot Reconstruction with Spatial-Spectral Rectification☆26Updated 6 months ago
- PyTorch code for ECCV 2022 Oral paper "Modeling Mask Uncertainty in Hyperspectral Image Reconstruction"☆26Updated 2 years ago
- ☆30Updated 11 months ago
- Official Implementation of the CVPR'24 paper: SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral…☆29Updated last year
- SST-ReversibleNet☆14Updated 2 years ago
- This project is the official implementation of 'Meta-Learning based Degradation Representation for Blind Super-Resolution', TIP2023☆27Updated 2 years ago
- ☆21Updated last year
- ☆30Updated last year
- ☆11Updated last year
- ☆61Updated last year
- Official Code for Hybrid Spectral Denoising Transformer with Guided Attention (ICCV 2023)☆49Updated last year
- [NeurIPS 2023 Spotlight] This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low…☆48Updated last year
- [CVPR'24] Dual Prior Unfolding for Snapshot Compressive Imaging☆20Updated 6 months ago
- ☆29Updated 3 months ago
- PyTorch code for CVPR2021 paper "Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging"☆55Updated 2 years ago
- PyTorch implementation for Comprehensive and Delicate: An Efficient Transformer for Image Restoration (CVPR 2023).☆57Updated last year
- [ECCV'24 - Best Paper Award Candidate & Oral] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.☆34Updated 3 months ago
- Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation. In ECCVW2022, MIPI Best Paper Honorable Mention.☆15Updated 2 years ago
- Solution of the NTIRE 2023 Challenge on Image Super-Resolution (x4)☆18Updated 2 weeks ago
- A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imaging☆24Updated 2 years ago
- ☆25Updated 10 months ago
- Xformer: Hybrid X-Shaped Transformer for Image Denoising☆46Updated last year
- Hyperspectral Image Super Resolution with Real Unaligned RGB Guidance (TNNLS 2023)☆29Updated 2 years ago
- Some basic visulization functions☆11Updated last year
- SAH-SCI: Self-Supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging☆12Updated 8 months ago
- ☆50Updated last year
- [TPAMI] Image Restoration via Frequency Selection☆88Updated 4 months ago
- 局部归因图(Local Attribution Map, LAM)是一个超分辨率重建任务的可解释性工具,旨在找到低分辨率输入图像中对网络超分结果贡献最强烈的像素。LAM 将跟踪模型使用的信息,并在指定超分结果局部区域的前提下,高亮对超分结果贡献最大的像素。☆17Updated last year
- ☆18Updated 3 years ago