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pith:2026:THVJZF7OOXQR3PEFUZ3GKNBYAR
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Phy-CoSF: Physics-Guided Continuous Spectral Fields Reconstruction and Super-Resolution for Snapshot Compressive Imaging

Bihan Wen, Ce Zhu, Gang Yan, Jiantao Zhou, Shigang Wang, Wudi Chen, Xin Yuan, Zhiyuan Zha, Zipei Fan

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

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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.

References

36 extracted · 36 resolved · 0 Pith anchors

[1] IEEE Transactions on Geoscience and Remote Sensing , volume=
[2] International Journal of Remote Sensing , volume=
[3] Proceedings of the European Conference on Biomedical Optics , pages=
[4] Optics Letters , volume=
[5] Remote Sensing , volume=

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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

99ea9c97ee75e11dbc85a676653438045646940b4f563542216a5dd8c37bf77b

Aliases

arxiv: 2605.13583 · arxiv_version: 2605.13583v1 · doi: 10.48550/arxiv.2605.13583 · pith_short_12: THVJZF7OOXQR · pith_short_16: THVJZF7OOXQR3PEF · pith_short_8: THVJZF7O
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/THVJZF7OOXQR3PEFUZ3GKNBYAR \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 99ea9c97ee75e11dbc85a676653438045646940b4f563542216a5dd8c37bf77b
Canonical record JSON
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