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# Summary
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This is the dataset proposed in our paper "**VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models**"
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VidProM is the first dataset featuring 1.67 million unique text-to-video prompts and 6.69 million videos generated from 4 different state-of-the-art diffusion models.
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It inspires many exciting new research areas, such as Text-to-Video Prompt Engineering, Efficient Video Generation, Fake Video Detection, and Video Copy Detection for Diffusion Models.
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# Citation
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# Contact
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# Summary
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This is the dataset proposed in our paper "[**VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models**](https://arxiv.org/abs/2403.06098)"
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VidProM is the first dataset featuring 1.67 million unique text-to-video prompts and 6.69 million videos generated from 4 different state-of-the-art diffusion models.
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It inspires many exciting new research areas, such as Text-to-Video Prompt Engineering, Efficient Video Generation, Fake Video Detection, and Video Copy Detection for Diffusion Models.
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# Citation
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```
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@article{wang2024vidprom,
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title={VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models},
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author={Wang, Wenhao and Yang, Yi},
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journal={arXiv preprint arXiv:2403.06098},
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year={2024}
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}
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```
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# Contact
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