{"schema":"record/v1","id":"art_01M5NNH7DPM8S8T4HJEFTNYT06","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What does VBench-2.0 actually measure (five categories, 18 dimensions), how is each dimension scored, and how is a single Total Score built?","summary":"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.","status":"active","body":{"text":"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.\n\nCurator 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.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","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"}]},"categories":["T06","T15","T20"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://arxiv.org/html/2503.21755v2","claim":"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). 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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.\n\nCurator 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.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","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"}]},"tags":[],"type":"article","links":[],"title":"What does VBench-2.0 actually measure (five categories, 18 dimensions), how is each dimension scored, and how is a single Total Score built?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"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). 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