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@@ -147,26 +147,23 @@ uuid, features = read_descriptors('VidProM_embed.hdf5')
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  <img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/datapoint.png" width="800">
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  </p>
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- # Visualization
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-
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- <p align="center">
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- <img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/WizMap.png" width="800">
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- </p>
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-
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- Click the [WizMap](https://poloclub.github.io/wizmap/?dataURL=https%3A%2F%2Fhuggingface.co%2Fdatasets%2FWenhaoWang%2FVidProM%2Fresolve%2Fmain%2Fdata_gpu13.ndjson&gridURL=https%3A%2F%2Fhuggingface.co%2Fdatasets%2FWenhaoWang%2FVidProM%2Fresolve%2Fmain%2Fgrid_gpu13.json)
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- (and wait for 5 seconds) for an interactive visualization of our 1.67 million prompts. Above is a thumbnail.
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  # Comparison with DiffusionDB
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  <p align="center">
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- <img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/compare_table.png" width="800">
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  </p>
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  <p align="center">
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  <img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/compare_visual.png" width="800">
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  </p>
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  Please check our paper for a detailed comparison.
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  # Curators
@@ -181,7 +178,7 @@ The prompts and videos generated by [Pika](https://discord.com/invite/pika) in o
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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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  <img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/datapoint.png" width="800">
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  </p>
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  # Comparison with DiffusionDB
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  <p align="center">
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+ <img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/compare_table.jpg" width="800">
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  </p>
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  <p align="center">
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  <img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/compare_visual.png" width="800">
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  </p>
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+ <p align="center">
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+ <img src="https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/WizMap_V_D" width="800">
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+ </p>
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+ Click [here](https://poloclub.github.io/wizmap/?dataURL=https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/data_vidprom_diffusiondb.ndjson&gridURL=https://huggingface.co/datasets/WenhaoWang/VidProM/resolve/main/grid_vidprom_diffusiondb.json%20) for an interactive WizMap.
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+
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  Please check our paper for a detailed comparison.
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  # Curators
 
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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 Sun, Yifan and Yang, Yi},
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  journal={arXiv preprint arXiv:2403.06098},
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  year={2024}
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  }