(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]
(TPAMI 2024) Practical Compact Deep Compressed Sensing [PyTorch]
An open source Python single-pixel imaging kit for educational and research purposes.
Imaging Privacy Threats from an Ambient Light Sensor (Science Advances 2024)
Classification and reconstruction for single-pixel imaging with classical and quantum neural networks. SIViP 19, 277 (2025)
Single pixel camera emulation with pytorch
An example and set of tools to analyze images of a Siemens Star target
Self-supervised deep convolutional reconstruction for ghost imaging.
This repository introduces Generalized SHSI using tunable sparse Hadamard speckle patterns to achieve noise‑robust, high‑resolution imaging with low‑order Hadamard matrices while alleviating the curse of dimensionality.
Few codes with the tools needed for doing Ghost Imaging simulations: speckle generation, simulation of measurements, recovery, etc.
Summation of a single-pixel camera
Fusing high-resolution volumes with spectro-temporal low-resolution images 🔬
Ten deep-learning single-pixel image reconstruction methods benchmarked on one shared Hadamard acquisition (PyTorch)
Image-free segmentation straight from single-pixel measurements — content-adaptive lift + task-prioritized loss scheduling (PyTorch)
Single-Pixel Pattern Optimisation
HybridImager: open hybrid single-pixel, event, frame, and spectral scientific imaging research workspace
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