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pith:OFQNJMXT

pith:2026:OFQNJMXTP2MKEBWC2ZPMWQRYO4
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PRISM: Rethinking Atmospheric Scattering Reconstruction as a Unified Understanding and Restoration Model for Real-world Dehazing

Chengyu Fang, Chenyang Zhu, Chubin Chen, Chunming He, Hongqiu Wang, Longxiang Tang, Sina Farsiu, Xiu Li, Yuelin Zhang

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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4 Citations open
5 Replications open
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Claims

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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.

Formal links

2 machine-checked theorem links

Cited by

1 paper in Pith

Receipt and verification
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

Aliases

arxiv: 2604.07048 · arxiv_version: 2604.07048v2 · doi: 10.48550/arxiv.2604.07048 · pith_short_12: OFQNJMXTP2MK · pith_short_16: OFQNJMXTP2MKEBWC · pith_short_8: OFQNJMXT
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OFQNJMXTP2MKEBWC2ZPMWQRYO4 \
  | 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: 7160d4b2f37e98a206c2d65ecb423877162560df007282feca49d40ba932b5ba
Canonical record JSON
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    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-08T13:01:30Z",
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