VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation

Xuan HeDongfu JiangGe ZhangMax KuAchint SoniSherman SiuHaonan ChenAbhranil ChandraZiyan JiangAaran Arulraj

article2024EMNLP148 citations

He et al (2024).pdf

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MLA

He, X., et al. “VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation”. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024, pp. 2105–23, https://doi.org/10.18653/v1/2024.emnlp-main.127.

APA

He, X., Jiang, D., Zhang, G., Ku, M., Soni, A., Siu, S., Chen, H., Chandra, A., Jiang, Z., Arulraj, A., Wang, K., Do, Q. D., Ni, Y., Lyu, B., Narsupalli, Y., Fan, R., Lyu, Z., Lin, B. Y., & Chen, W. (2024). VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2105–2123. https://doi.org/10.18653/v1/2024.emnlp-main.127

Chicago

He, X., D. Jiang, G. Zhang, et al. 2024. “VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation”. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2105–23. https://doi.org/10.18653/v1/2024.emnlp-main.127.

Harvard

He, X. et al. (2024) “VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation”, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp. 2105–2123. Available at: https://doi.org/10.18653/v1/2024.emnlp-main.127.

Vancouver

1. He X, Jiang D, Zhang G, et al (2024) VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation. In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp 2105–2123

BibTeX

@inproceedings{he-etal-2024-videoscore,
    title = "{V}ideo{S}core: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation",
    author = "He, Xuan  and
      Jiang, Dongfu  and
      Zhang, Ge  and
      Ku, Max  and
      Soni, Achint  and
      Siu, Sherman  and
      Chen, Haonan  and
      Chandra, Abhranil  and
      Jiang, Ziyan  and
      Arulraj, Aaran  and
      Wang, Kai  and
      Do, Quy Duc  and
      Ni, Yuansheng  and
      Lyu, Bohan  and
      Narsupalli, Yaswanth  and
      Fan, Rongqi  and
      Lyu, Zhiheng  and
      Lin, Bill Yuchen  and
      Chen, Wenhu",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.emnlp-main.127/",
    doi = "10.18653/v1/2024.emnlp-main.127",
    pages = "2105--2123"
}

VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation

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