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It focuses on measuring how well a world model can generate driving scenes conditioned on specified trajectories.
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<img src="
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## Data fields
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If you find our work helpful, please feel free to cite us.
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```bibtex
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@misc{
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title={ACT-Bench: Towards Action Controllable World Models for Autonomous Driving},
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author={Hidehisa Arai and Keishi Ishihara and Tsubasa Takahashi and Yu Yamaguchi},
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year={2024},
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It focuses on measuring how well a world model can generate driving scenes conditioned on specified trajectories.
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<img src="fig1.png" alt="Overview of the ACT-Bench" width="800">
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For more details, please refer our [paper](https://arxiv.org/abs/2412.05337) and [code repository](https://github.com/turingmotors/ACT-Bench).
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## Data fields
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If you find our work helpful, please feel free to cite us.
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```bibtex
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@misc{arai2024actbench,
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title={ACT-Bench: Towards Action Controllable World Models for Autonomous Driving},
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author={Hidehisa Arai and Keishi Ishihara and Tsubasa Takahashi and Yu Yamaguchi},
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year={2024},
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