pith:THVJZF7O
Phy-CoSF: Physics-Guided Continuous Spectral Fields Reconstruction and Super-Resolution for Snapshot Compressive Imaging
Phy-CoSF embeds continuous spectral fields as dynamic priors inside unfolding networks to reconstruct hyperspectral images at any wavelength from a single CASSI measurement.
arxiv:2605.13583 v1 · 2026-05-13 · cs.CV
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Claims
Phy-CoSF not only achieves continuous modeling at arbitrary spectral resolutions but also outperforms many state-of-the-art methods in both reconstruction fidelity and spectral detail preservation.
The assumption that embedding implicit neural representations as dynamic priors inside unfolding stages will faithfully preserve the underlying physics of CASSI while enabling continuous spectral synthesis without introducing artifacts or requiring post-hoc tuning.
Phy-CoSF enables continuous spectral reconstruction and super-resolution for snapshot compressive imaging by integrating physics-guided deep unfolding with implicit neural representations in a two-phase architecture.
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Receipt and verification
| First computed | 2026-05-18T02:44:23.207783Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/THVJZF7OOXQR3PEFUZ3GKNBYAR \
| jq -c '.canonical_record' \
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Canonical record JSON
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