Datasets:
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README.md
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---
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license: cc-by-4.0
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---
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license: cc-by-4.0
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task_categories:
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- image-to-3d
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language:
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- en
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tags:
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- 4d
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- 3d
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- image-to-4d
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pretty_name: CamVid-30K
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size_categories:
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- 10K<n<100K
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---
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# CamVid-30K
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<p align="center">
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<img src="https://gen-x-d.github.io/materials/figures/camvid-30k.png">
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</p>
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## Summary
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This is the **CamVid-30K** dataset introduced in our paper, "[**GenXD: Generating Any 3D and 4D Scenes**](https://gen-x-d.github.io/)." CamVid-30K is the first open-sourced, large-scale 4D dataset, designed to support various dynamic 3D tasks. It includes videos sourced from [VIPSeg](https://github.com/VIPSeg-Dataset/VIPSeg-Dataset), [OpenVid-1M](https://github.com/NJU-PCALab/OpenVid-1M), and [WebVid-10M](https://github.com/m-bain/webvid), with camera annotations curated using our data curation pipeline.
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**Project**: [https://gen-x-d.github.io/](https://gen-x-d.github.io/)
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**Paper**: [https://arxiv.org/pdf/2411.02319](https://arxiv.org/pdf/2411.02319)
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**Code**: [https://github.com/HeliosZhao/GenXD](https://github.com/HeliosZhao/GenXD)
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<p align="center">
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<img src="https://gen-x-d.github.io/materials/figures/motion.png">
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<br>
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Data curation pipeline.
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</p>
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## Directory
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The zipped dataset is organized in the following structure:
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```
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DATA_PATH
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ββ camvid-vipseg
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ββ batch_1.zip
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ββ batch_2.zip
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ββ camvid-openvid
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ββ batch_1.zip
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ββ batch_2.zip
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ββ ...
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```
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After unzipping, each sample contains the images and COLMAP source files:
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```
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VIDEO_ID
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ββ images
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ββ *.jpg
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ββ 0
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ββ cameras.bin
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ββ images.bin
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ββ points3D.bin
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ββ project.ini
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```
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**Note:** Due to the [ban on WebVid-10M](https://github.com/m-bain/webvid?tab=readme-ov-file#dataset-no-longer-available-but-you-can-still-use-it-for-internal-non-commerical-purposes), we cannot provide the data containing videos from WebVid-10M. If you would like to discuss this subset further, feel free to reach out to [Yuyang](mailto:yuyangzhao98@gmail.com).
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## License
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Our CamVid-30K dataset is released under CC-BY-4.0. The video samples are collected from publicly available datasets. Users must follow the related licenses [VIPSeg](https://github.com/VIPSeg-Dataset/VIPSeg-Dataset?tab=readme-ov-file#license), [OpenVid-1M](https://huggingface.co/datasets/nkp37/OpenVid-1M#license), and [WebVid-10M](https://github.com/m-bain/webvid) to use these video samples.
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## Citation
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```
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@article{zhao2024genxd,
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title={GenXD: Generating Any 3D and 4D Scenes},
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author={Zhao, Yuyang and Lin, Chung-Ching and Lin, Kevin and Yan, Zhiwen and Li, Linjie and Yang, Zhengyuan and Wang, Jianfeng and Lee, Gim Hee and Wang, Lijuan},
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journal={arXiv preprint arXiv:2411.02319},
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year={2024}}
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```
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