pith:OFQNJMXT
PRISM: Rethinking Atmospheric Scattering Reconstruction as a Unified Understanding and Restoration Model for Real-world Dehazing
PRISM jointly reconstructs clear scenes and scattering variables to improve real-world image dehazing.
arxiv:2604.07048 v2 · 2026-04-08 · cs.CV
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Claims
PRISM achieves state-of-the-art performance on RID tasks through Proximal Scattered Atmosphere Reconstruction (PSAR), a physically structured framework that jointly reconstructs the clear scene and scattering variables under the atmospheric scattering model, combined with an online non-uniform haze synthesis pipeline and Selective Self-distillation Adaptation scheme.
That the model's intrinsic scattering understanding can reliably audit residual haze and guide self-refinement in unpaired real-world scenarios without introducing new artifacts or overfitting to synthetic patterns.
PRISM proposes a physically structured PSAR framework with non-uniform haze synthesis and selective self-distillation adaptation to achieve state-of-the-art real-world image dehazing.
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| First computed | 2026-06-03T01:05:12.675811Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7160d4b2f37e98a206c2d65ecb423877162560df007282feca49d40ba932b5ba
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/OFQNJMXTP2MKEBWC2ZPMWQRYO4 \
| jq -c '.canonical_record' \
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Canonical record JSON
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