Official WRBench paper, public datasets, benchmark videos, human annotations, and interactive leaderboard.
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WRBench
WRBench is an open benchmark for camera-controlled generation and diagnostic evaluation of video world models, introduced in Current World Models Lack a Persistent State Core.
Links
- Paper: https://huggingface.co/papers/2606.20545
- Project page: https://jinplu.github.io/WRBench/
- GitHub: https://github.com/JinPLu/WRBench
- Artifact collection: https://huggingface.co/collections/WRBench/wrbench-current-world-models-lack-a-persistent-state-core-6a365c717251293c9fc2cc26
- Leaderboard: https://huggingface.co/spaces/WRBench/wrbench-leaderboard
Datasets
- Natural-25 prompts, variants, and first frames: https://huggingface.co/datasets/WRBench/wrbench-natural25
- 23-model evaluation results: https://huggingface.co/datasets/WRBench/wrbench-results
- Human annotation verdicts: https://huggingface.co/datasets/WRBench/wrbench-human-annotations
- Benchmark videos and per-video scores: https://huggingface.co/datasets/WRBench/wrbench-videos
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