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
- Official implementation of "HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging," CVPR 20…☆16Updated 2 years ago
- Official implementation for "Deep Fractional Fourier Transform " [NeurIPS 2023]☆30Updated 8 months ago
- This repo provides a clean implementation of the paper "Compressive Spectral Image Reconstruction using Deep prior and Low-Rank Tensor Re…☆15Updated last year
- Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising☆15Updated 4 months ago
- AMS-Net: Adaptive Multi-Scale Network for Image Compressive Sensing☆13Updated 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
- Official implementation of "Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery," IEEE TPAMI, 2023☆24Updated 11 months ago
- PyTorch implementation of the fractional Fourier transform with trainable transform order.☆31Updated 8 months ago
- ☆92Updated 8 months ago
- ☆44Updated last year
- Code for 'Adaptive Deep PnP Algorithm for Video Snapshot Compressive Imaging'☆11Updated 10 months ago
- ☆14Updated 2 years ago
- ☆40Updated last year
- Memory-Augmented Deep Unfolding Network for Compressive Sensing(ACMMM 2021)☆12Updated 2 years ago
- Matlab and Pytorch code for "Reweighted Low-Rank Factorization with Deep Prior for Image Restoration".☆11Updated 2 years ago
- [ECCV'24] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.☆20Updated last month
- Out-of-box Hyperspectral Image Restoration Toolbox and Benchmark☆21Updated last year
- Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing☆20Updated last year
- ☆22Updated last year
- Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise (CVPR2021)☆13Updated 3 years ago
- Hyperspectral Image Denoising with Realistic Data☆24Updated 2 years ago
- "HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging" (CVPR 2022)☆19Updated 2 years ago
- 根据CVPR2023论文Zero-shot Noise2Noise,复现了一个零样本、无假设的图像去噪模型☆16Updated 10 months ago
- ☆25Updated 3 years ago
- The implementation for the paper "Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Co…☆22Updated last year
- [CVPR'24] DPU: Dual Prior Unfolding for Snapshot Compressive Imaging☆11Updated 3 weeks ago
- Tensorflow code of CVPR 2021 paper "Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction"☆17Updated 3 years ago
- ☆16Updated 5 months ago
- ☆15Updated 8 months ago
- Implementation of CNN-Enhanced Graph Attention Network for Hyperspectral Image Super-Resolution Using Non-Local Self-Similarity (CEGATSR)…☆13Updated 10 months ago