Zongliang-Wu/LADE-DUN
[ECCV'24 - Best Paper Award Candidate & Oral] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.
This project helps scientists and researchers reconstruct detailed 3D spatial-spectral images from a single 2D compressed measurement. It takes a single-shot compressed spectral image as input and produces a high-quality, detailed 3D image that reveals spatial and spectral information. This is useful for anyone working with hyperspectral imaging and needing to recover rich data from limited input.
No commits in the last 6 months.
Use this if you need to reconstruct high-fidelity hyperspectral images from challenging, heavily compressed single-shot measurements.
Not ideal if your workflow doesn't involve snapshot spectral compressive imaging or if you are looking for a general-purpose image reconstruction tool.
Stars
48
Forks
5
Language
Python
License
MIT
Category
Last pushed
Mar 10, 2025
Commits (30d)
0
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