Pith Number

pith:UTAYC7AI

pith:2026:UTAYC7AIV664IYC4L65VTACZEY

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PROVE: A Perceptual RemOVal cohErence Benchmark for Visual Media

Daiguo Zhou, Fei Wang, Fuhao Li, Jiagao Hu, Jian Luan, Shaofeng You, Yu Liu, Yuxuan Chen, Zepeng Wang

RC metrics measure local spatial and temporal coherence in object removal to better match human perception than prior evaluation protocols.

arxiv:2605.14534 v1 · 2026-05-14 · cs.CV · cs.AI · cs.MM

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3 Author claim open · sign in to claim

4 Citations 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

Experiments across diverse image and video benchmarks demonstrate that RC achieves substantially stronger alignment with human judgments than existing evaluation protocols.

C2weakest assumption

That sliding-window feature comparisons and distribution tracking in restored regions will reliably capture human perception of coherence without post-hoc tuning or unstated biases in the chosen feature extractors.

C3one line summary

PROVE proposes RC metrics for perceptual removal coherence and releases PROVE-Bench to better align automatic scores with human judgments on object removal tasks.

References

43 extracted · 43 resolved · 3 Pith anchors

[1] Assessing image inpainting via re-inpainting self-consistency evaluation, 2024

[2] Image quality metrics: Psnr vs. ssim, 2010

[3] Image quality assessment: from error visibility to structural similarity 2004

[4] The unreasonable effectiveness of deep features as a perceptual metric, 2018

[5] Resolution-robust large mask inpainting with fourier convolutions, 2022

Receipt and verification

First computed	2026-05-17T23:39:05.908489Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a4c1817c08afbdc4605c5fbb598059263393e2d76b936c8ca47a90e5a8170e62

Aliases

arxiv: 2605.14534 · arxiv_version: 2605.14534v1 · doi: 10.48550/arxiv.2605.14534 · pith_short_12: UTAYC7AIV664 · pith_short_16: UTAYC7AIV664IYC4 · pith_short_8: UTAYC7AI

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/UTAYC7AIV664IYC4L65VTACZEY \
  | 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: a4c1817c08afbdc4605c5fbb598059263393e2d76b936c8ca47a90e5a8170e62

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "46c3962cebf435310efd22104a833b05374f65a14dcbe101673f5b231ef9a1ff",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.MM"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-14T08:16:51Z",
    "title_canon_sha256": "5b9ff8c561e87fbfe5b766c903fb9adc4fe7c4afdbd6af2fb73d7c9f90401c5c"
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    "kind": "arxiv",
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}