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pith:2026:IY5MD63PU4YG6QEJEUARJBXYJA
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ServImage: An Image Generation and Editing Benchmark from Real-world Commercial Imaging Services

Fengxian Ji, Jinghui Zhang, Jingpu Yang, Junhong Liang, Lang Gao, Xiuying Chen, Zhenhao Chen, Zirui Song

ServImage benchmark evaluates image models by their ability to produce outputs that clients would pay for in real design projects.

arxiv:2604.24023 v2 · 2026-04-27 · cs.CV

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

Under the ServImageScore system, the proposed payment prediction model achieves 82.00% accuracy in predicting human payment decisions and produces calibrated payment probabilities.

C2weakest assumption

That the three quality dimensions (baseline requirements, visual execution, commercial necessity) fully capture the factors that drive human payment decisions in commercial design projects.

C3one line summary

ServImage supplies a commercial-design benchmark, three-dimensional scoring rubric, and 82%-accurate payment predictor trained on 33k human-annotated images from paid projects.

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1 paper in Pith

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First computed 2026-06-23T01:12:07.623426Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

463ac1fb6fa7306f408925011486f8483fe72fbb2d3b1c77590d015ee4626795

Aliases

arxiv: 2604.24023 · arxiv_version: 2604.24023v2 · doi: 10.48550/arxiv.2604.24023 · pith_short_12: IY5MD63PU4YG · pith_short_16: IY5MD63PU4YG6QEJ · pith_short_8: IY5MD63P
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IY5MD63PU4YG6QEJEUARJBXYJA \
  | 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: 463ac1fb6fa7306f408925011486f8483fe72fbb2d3b1c77590d015ee4626795
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-27T04:11:06Z",
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