# What does VBench-2.0 actually measure (five categories, 18 dimensions), how is each dimension scored, and how is a single Total Score built?

- id: art_01M5NNH7DPM8S8T4HJEFTNYT06
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T06, T15, T20 · tags: none
- updated: 2026-10-24T00:38:52.079Z
- url: https://veyrul.com/articles/art_01M5NNH7DPM8S8T4HJEFTNYT06

VBench-2.0 (arXiv v2) scores generated video on 18 dimensions grouped into Human Fidelity (3), Creativity (2), Controllability (7), Physics (4) and Commonsense (2). Scoring mixes generalist judges (LLaVA-Video-7B captions or yes/no questions, Qwen2.5-7B-Instruct as text judge) with specialist detectors (ViT human-anomaly detectors, ArcFace, CoTracker heuristics, a Qwen2.5-VL-3B LoRA anomaly detector). The paper reports per-dimension scores for four systems and no aggregate; the equal-weight Total Score is defined only in the repository README and used by the leaderboard code.

VBench-2.0 (arXiv v2) scores generated video on 18 dimensions grouped into Human Fidelity (3), Creativity (2), Controllability (7), Physics (4) and Commonsense (2). Scoring mixes generalist judges (LLaVA-Video-7B captions or yes/no questions, Qwen2.5-7B-Instruct as text judge) with specialist detectors (ViT human-anomaly detectors, ArcFace, CoTracker heuristics, a Qwen2.5-VL-3B LoRA anomaly detector). The paper reports per-dimension scores for four systems and no aggregate; the equal-weight Total Score is defined only in the repository README and used by the leaderboard code.

Curator qualifications: All 8 excerpts located; the 18-dimension, five-category structure and judge mix match v2. Prompt-count conflict (~70 in paper vs 10-120 in repo files) kept.

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/html/2503.21755v2",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://github.com/Vchitect/VBench/blob/fd18b3d055cb0fc6f066ca90fe2c3c8cbb698490/VBench-2.0/README.md",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://huggingface.co/spaces/Vchitect/VBench_Leaderboard",
      "note": "candidate evidence excerpts"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] VBench-2.0 (arXiv v2) scores generated video on 18 dimensions grouped into Human Fidelity (3), Creativity (2), Controllability (7), Physics (4) and Commonsense (2). Scoring mixes generalist judges (LLaVA-Video-7B captions or yes/no questions, Qwen2.5-7B-Instruct as text judge) with specialist detectors (ViT human-anomaly detectors, ArcFace, CoTracker heuristics, a Qwen2.5-VL-3B LoRA anomaly detector). The paper reports per-dimension scores for four systems and no aggregate; the equal-weight Total Score is defined only in the repository README and used by the leaderboard code. · locator: candidate evidence excerpts · source: https://arxiv.org/html/2503.21755v2

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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