(TPAMI 2025) Invertible Diffusion Models for Compressed Sensing [PyTorch]
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Updated
Mar 9, 2025 - Python
(TPAMI 2025) Invertible Diffusion Models for Compressed Sensing [PyTorch]
(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch]
(IJCV 2023) Deep Physics-Guided Unrolling Generalization for Compressed Sensing [PyTorch]
(Nature Communications Engineering 2024) Compressive Confocal Microscopy Imaging at the Single-Photon Level with Ultra-Low Sampling Ratios [PyTorch]
Awesome list of tomographic reconstruction (computed tomography, CT / CBCT / micro-CT): papers, toolkits, datasets, benchmarks. Sparse-view, limited-angle, low-dose, metal-artifact, spectral, photon-counting, cone-beam, 4D CT. FBP, iterative solvers, deep unrolling, Radon transform, sinogram. English / Chinese.
Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery
This is a pipeline in Tensorflow framework to preprocess the OCMR (cine MR) dataset into the .tfrecord files.
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