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VBENCH
Comprehensive benchmark for video generative models
Apache-2.0
ABOUT
Video generators are judged with a single FID-like number that hides flicker, motion, and prompt following. VBench splits quality into 16 automatic dimensions aligned with human ratings so labs can compare T2V and I2V models on a shared leaderboard.
INSTALL
pip install vbenchINTEGRATION GUIDE
1. Score text-to-video samples on subject consistency, flicker, and motion smoothness
2. Compare generators on the public VBench Hugging Face leaderboard
3. Evaluate image-to-video and long clips with VBench++ suites
4. Run pip install vbench against a folder of sampled videos and the official prompts
TAGS
pythonbenchmarkevaluationvideogenerationcvprhuggingface