Pith Number

pith:FCRWSQGQ

pith:2026:FCRWSQGQVIA3Y2VNNF5OQ4ANHK

not attested not anchored not stored refs resolved

Unifying Physically-Informed Weather Priors in A Single Model for Image Restoration Across Multiple Adverse Weather Conditions

Jiaqi Xu, Lei Zhu, Pheng-Ann Heng, Xiaowei Hu

A unified imaging model accounting for both visible particles and aggregate fog scattering restores images across multiple adverse weather conditions in one network.

arxiv:2605.13158 v1 · 2026-05-13 · cs.CV

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\pithnumber{FCRWSQGQVIA3Y2VNNF5OQ4ANHK}

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3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

we analyze the common visual factors in adverse weather conditions and present a unified imaging model that considers the individually visible particles and fog-like aggregate scattering effects.

C2weakest assumption

That a single set of estimated occlusion and transmission maps derived from the unified model will be sufficient and accurate enough to guide feature enhancement across all tested weather types without condition-specific tuning or post-hoc adjustments.

C3one line summary

A unified imaging model and weather-prior network restores scenes across multiple adverse conditions by estimating occlusion and transmission from physical particle and scattering effects.

References

95 extracted · 95 resolved · 1 Pith anchors

[1] Single image haze removal using dark channel prior, 2010

[2] Dehazenet: An end-to-end system for single image haze removal, 2016

[3] Benchmarking single-image dehazing and beyond, 2018

[4] Contrastive learning for compact single image dehazing, 2021

[5] K. Garg and S. K. Nayar, “Vision and rain,”IJCV, 2007 2007

Receipt and verification

First computed	2026-05-18T03:08:56.950401Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

28a36940d0aa01bc6aad697ae8700d3aade8e5e02e717a20de61cac3db697f7e

Aliases

arxiv: 2605.13158 · arxiv_version: 2605.13158v1 · doi: 10.48550/arxiv.2605.13158 · pith_short_12: FCRWSQGQVIA3 · pith_short_16: FCRWSQGQVIA3Y2VN · pith_short_8: FCRWSQGQ

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/FCRWSQGQVIA3Y2VNNF5OQ4ANHK \
  | 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: 28a36940d0aa01bc6aad697ae8700d3aade8e5e02e717a20de61cac3db697f7e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "aa8af4120ac50ea570e751f655729d44cc4accb107eb372da87a2aca7332c0b9",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-13T08:22:23Z",
    "title_canon_sha256": "df293d2c7214990b7ca70dea67e48c5937f5a6e19c60d064356e9f93859a01aa"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13158",
    "kind": "arxiv",
    "version": 1
  }
}