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(TPAMI 2025) Invertible Diffusion Models for Compressed Sensing [PyTorch]
python
pytorch
deep-learning
deep-unfolding
deep-unrolling
computer-vision
diffusion-models
image-restoration
compressed-sensing
algorithm-unrolling
compressive-sensing
compressive-sampling
deep-neural-networks
deep-unfolding-model
image-reconstruction
single-pixel-imaging
computational-imaging
invertible-neural-networks
Created
2024-05-11
21 commits to main branch, last one 16 days ago
A MATLAB library for sparse representation problems
Created
2015-06-13
820 commits to master branch, last one 2 years ago
Functional models and algorithms for sparse signal processing
Created
2020-12-22
1,046 commits to main branch, last one about a year ago
(TPAMI 2024) Practical Compact Deep Compressed Sensing [PyTorch]
Created
2023-01-15
13 commits to main branch, last one 16 days ago
[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.
Created
2019-02-19
11 commits to master branch, last one 5 years ago
(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch]
Created
2023-08-26
21 commits to main branch, last one 16 days ago
TransCS: A Transformer-Based Hybrid Architecture for Image Compressed Sensing
Created
2021-10-18
73 commits to master branch, last one 2 years ago
An open source Python single-pixel imaging kit for educational and research purposes.
Created
2022-06-24
600 commits to main branch, last one a day ago