JorisWeeda / Quaternion-Convolutional-Neural-Networks
Quaternion Convolutional Neural Networks: A novel approach that extends traditional convolutional neural networks by introducing quaternions, a hypercomplex number system. The proposed method outperforms traditional CNNs on several image classification tasks while maintaining a similar number of parameters.
☆12Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for Quaternion-Convolutional-Neural-Networks
- This repo provides a clean implementation of the paper "Compressive Spectral Image Reconstruction using Deep prior and Low-Rank Tensor Re…☆15Updated last year
- Official implementation of "HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging," CVPR 20…☆16Updated 2 years ago
- [ECCV'24] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.☆20Updated last month
- AMS-Net: Adaptive Multi-Scale Network for Image Compressive Sensing☆12Updated last year
- YurongChen1998 / Flex-DLD-Deep-Low-rank-Decomposition-Model-with-Flexible-Priors-for-Hyperspectral-Image-Denoising-aFlex-DLD: Deep Low-rank Decomposition Model with Flexible Priors for Hyperspectral Image Denoising and Restoration☆10Updated 10 months ago
- Code for a 1D Implementation of 'A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration' (2007)☆12Updated 7 years ago
- Official implementation for "Deep Fractional Fourier Transform " [NeurIPS 2023]☆30Updated 8 months ago
- ☆14Updated 2 years ago
- Tensorflow code of CVPR 2021 paper "Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction"☆17Updated 3 years ago
- Official implementation of "Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery," IEEE TPAMI, 2023☆22Updated 10 months ago
- Effective Snapshot Compressive-spectral Imaging via Deep Denosing and Total Variation Priors (CVPR 2021)☆22Updated 3 years ago
- ☆40Updated last year
- ☆16Updated last year
- Out-of-box Hyperspectral Image Restoration Toolbox and Benchmark☆21Updated last year
- Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising☆13Updated 4 months ago
- Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing☆20Updated last year
- Memory-Augmented Deep Unfolding Network for Compressive Sensing(ACMMM 2021)☆12Updated 2 years ago
- Codes for Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image Fusion. (WACV 2024)☆15Updated 5 months ago
- ☆86Updated 8 months ago
- ☆15Updated 7 months ago
- ☆43Updated last year
- ☆22Updated last year
- The official repository of the paper "DeepM2CDL: Deep Multi-scale Multi-modal Convolutional Dictionary Learning Network" from IEEE Transa…☆41Updated 7 months ago
- [CVPR'24] DPU: Dual Prior Unfolding for Snapshot Compressive Imaging☆11Updated last week
- Implementation of CNN-Enhanced Graph Attention Network for Hyperspectral Image Super-Resolution Using Non-Local Self-Similarity (CEGATSR)…☆12Updated 10 months ago
- Low-Rank Tensor Decomposition with Deep Network Priors☆15Updated 2 years ago
- ☆24Updated last year
- The implementation for the paper "Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Co…☆22Updated last year
- Havard Medical Image Fusion Datasets CT-MRI PET-MRI SPECT-MRI☆30Updated last year
- Code release for paper ''DNF: Diffractive Neural Field for Lensless Microscopic Imaging''☆13Updated 7 months ago