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@@ -173,7 +173,7 @@ hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="subset_videos_tar/cog_vi
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  ```
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  ```python
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- # 10k TIP-Eval videos generated by Pika (~5.8G), Stable Video Diffusion (~3.9G), Open-Sora (~4.7G), I2VGen-XL (~5.4G), and CogVideoX-5B (~xxG)
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  from huggingface_hub import hf_hub_download
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  hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="eval_videos_tar/pika_videos_eval.tar", repo_type="dataset")
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  hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="eval_videos_tar/svd_videos_eval.tar", repo_type="dataset")
@@ -206,7 +206,7 @@ The prompts and videos in our TIP-I2V are licensed under the [CC BY-NC 4.0 licen
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  @article{wang2024tipi2v,
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  title={TIP-I2V: A Million-Scale Real Prompt-Gallery Dataset for Image-to-Video Diffusion Models},
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  author={Wang, Wenhao and Yang, Yi},
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- booktitle={arXiv preprint arXiv:2410.xxxxx},
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  year={2024}
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  }
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  ```
 
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  ```
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  ```python
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+ # 10k TIP-Eval videos generated by Pika (~5.8G), Stable Video Diffusion (~3.9G), Open-Sora (~4.7G), I2VGen-XL (~5.4G), and CogVideoX-5B (~3.6G)
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  from huggingface_hub import hf_hub_download
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  hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="eval_videos_tar/pika_videos_eval.tar", repo_type="dataset")
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  hf_hub_download(repo_id="WenhaoWang/TIP-I2V", filename="eval_videos_tar/svd_videos_eval.tar", repo_type="dataset")
 
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  @article{wang2024tipi2v,
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  title={TIP-I2V: A Million-Scale Real Prompt-Gallery Dataset for Image-to-Video Diffusion Models},
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  author={Wang, Wenhao and Yang, Yi},
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+ booktitle={arXiv preprint arXiv:2411.xxxxx},
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  year={2024}
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  }
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  ```