WenhaoWang
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Update README.md
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README.md
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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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<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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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.
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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
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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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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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}
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