Pith Number

pith:KPHL7WYP

pith:2026:KPHL7WYPLSRXYR7BFASDL5ONVJ

not attested not anchored not stored refs resolved

PVRF: All-in-one Adverse Weather Removal via Prior-modulated and Velocity-constrained Rectified Flow

Guangtao Zhai, Guanhua Zhao, Han Zhou, Jun Chen, Shahab Asoodeh, Terry Ji, Wei Dong, Xiaohong Liu, Yulun Zhang

PVRF uses zero-shot weather perceptions from frozen vision-language models to guide a velocity-constrained rectified flow that refines restoration anchors for multiple adverse degradations.

arxiv:2605.14045 v1 · 2026-05-13 · cs.CV

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\pithnumber{KPHL7WYPLSRXYR7BFASDL5ONVJ}

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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

PVRF improves both fidelity and perceptual quality over state-of-the-art baselines, with strong cross-dataset generalization on single and combined degradations.

C2weakest assumption

Zero-shot soft weather perceptions produced by frozen VLMs via the AWR-QA module are sufficiently accurate and informative to condition the restoration networks effectively through AMN and WWA.

C3one line summary

PVRF combines zero-shot VLM-based weather perception with perception-adaptive rectified flow refinement to achieve all-in-one adverse weather removal with improved fidelity and cross-dataset generalization.

References

49 extracted · 49 resolved · 1 Pith anchors

[1] The perception-distortion tradeoff 2018

[2] Unirestore: Unified perceptual and task-oriented image restoration model using diffusion prior 2025

[3] Simple baselines for image restoration 2022

[4] All snow removed: Single image desnowing algorithm using hierarchical dual-tree complex wavelet representation and contradict channel loss 2021

[5] Bio-inspired image restoration 2025

Receipt and verification

First computed	2026-05-17T23:39:12.702537Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

53cebfdb0f5ca37c47e1282435f5cdaa786818917b8a2c5b6c981be4e5f20276

Aliases

arxiv: 2605.14045 · arxiv_version: 2605.14045v1 · doi: 10.48550/arxiv.2605.14045 · pith_short_12: KPHL7WYPLSRX · pith_short_16: KPHL7WYPLSRXYR7B · pith_short_8: KPHL7WYP

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/KPHL7WYPLSRXYR7BFASDL5ONVJ \
  | 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: 53cebfdb0f5ca37c47e1282435f5cdaa786818917b8a2c5b6c981be4e5f20276

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a128e7584c2d47dd93fa9b135ea35bada41ab99ebb52b7e254e9e227fd6ad2c2",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-13T19:07:14Z",
    "title_canon_sha256": "c5d87fceef56652ad4bfd680edd7521c4b5995b32b4cf197c3c77144ae2cab30"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14045",
    "kind": "arxiv",
    "version": 1
  }
}