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pith:JY4XZCER

pith:2026:JY4XZCERA4LAZSADWR2FT75NNC
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DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation

Chao Deng, Hang Chen, Huan Yu, Jie Jiang, Liqun Liu, Longfei Lu, Luo Liao, Mengge Xue, Peng Shu, Qing Wang, Shuang Li, Te Cao, Yuan Chen, Zhenyu Hu

DSH-Bench supplies a hierarchical taxonomy and difficulty-scenario labels to expose where subject-driven text-to-image models lose identity.

arxiv:2603.08090 v3 · 2026-03-09 · cs.CV · cs.AI

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Claims

C1strongest claim

DSH-Bench enables systematic multi-perspective analysis of subject-driven T2I models through four principal innovations: hierarchical taxonomy sampling, difficulty and scenario classification, the SICS metric with 9.4% higher human correlation, and diagnostic insights for model optimization.

C2weakest assumption

The assumption that the chosen hierarchical taxonomy and difficulty/scenario labels are sufficiently comprehensive and unbiased, and that the reported 9.4% correlation improvement for SICS generalizes beyond the specific human evaluators and model set used in the study.

C3one line summary

DSH-Bench is a benchmark for subject-driven T2I generation that uses hierarchical taxonomy sampling, difficulty/scenario classification, and a new SICS metric showing 9.4% higher human correlation than prior measures.

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First computed 2026-07-01T01:17:13.897447Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4e397c889107160cc803b47459ffad6887bc814bd3593be5850ee0d64fc9745d

Aliases

arxiv: 2603.08090 · arxiv_version: 2603.08090v3 · doi: 10.48550/arxiv.2603.08090 · pith_short_12: JY4XZCERA4LA · pith_short_16: JY4XZCERA4LAZSAD · pith_short_8: JY4XZCER
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/JY4XZCERA4LAZSADWR2FT75NNC \
  | 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: 4e397c889107160cc803b47459ffad6887bc814bd3593be5850ee0d64fc9745d
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-03-09T08:30:28Z",
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