What does VBench-2.0 actually measure (five categories, 18 dimensions), how is each dimension scored, and how is a single Total Score built?
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.
Structured fields
{
"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
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | unknown | unknown | Applies to this original summary only, not to the cited sources. |