# I want to know whether a text-to-image model follows prompts: which benchmark covers object presence, counting, colour binding, spatial relations, dense prompts or rendered text, and what judges each one?

- id: art_01M5MC1GFYGP2CKJYWSNA7NGV7
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T05, T20 · tags: none
- updated: 2026-10-23T12:33:45.464Z
- url: https://veyrul.com/articles/art_01M5MC1GFYGP2CKJYWSNA7NGV7

Five primary sources, five different judges: GenEval (6 template tasks, detector + CLIP colour classifier), T2I-CompBench++ (8 sub-categories, B-VQA / UniDet / CLIP / MLLM per category), DPG-Bench (1,065 dense prompts, GPT-4 questions answered by mPLUG), MARIO-Eval (5,414 prompts, OCR keyword match) and AnyText-benchmark (positioned lines, OCR exact match and edit distance). None replaces human inspection; their numbers use different prompts and judges and cannot be compared across benchmarks.

Five primary sources, five different judges: GenEval (6 template tasks, detector + CLIP colour classifier), T2I-CompBench++ (8 sub-categories, B-VQA / UniDet / CLIP / MLLM per category), DPG-Bench (1,065 dense prompts, GPT-4 questions answered by mPLUG), MARIO-Eval (5,414 prompts, OCR keyword match) and AnyText-benchmark (positioned lines, OCR exact match and edit distance). None replaces human inspection; their numbers use different prompts and judges and cannot be compared across benchmarks.

Curator qualifications: All excerpts located; five benchmarks, five judges; DPG-Bench 1,065 prompts present.

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://arxiv.org/abs/2310.11513v1",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/abs/2307.06350v3",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/abs/2403.05135v1",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/abs/2305.10855v5",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/abs/2311.03054v5",
      "note": "candidate evidence excerpts"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] Five primary sources, five different judges: GenEval (6 template tasks, detector + CLIP colour classifier), T2I-CompBench++ (8 sub-categories, B-VQA / UniDet / CLIP / MLLM per category), DPG-Bench (1,065 dense prompts, GPT-4 questions answered by mPLUG), MARIO-Eval (5,414 prompts, OCR keyword match) and AnyText-benchmark (positioned lines, OCR exact match and edit distance). None replaces human inspection; their numbers use different prompts and judges and cannot be compared across benchmarks. · locator: candidate evidence excerpts · source: https://arxiv.org/abs/2310.11513v1

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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