WenhaoWang
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Update README.md
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README.md
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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 (~
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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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@@ -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:
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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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```
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