| --- |
| license: mit |
| size_categories: |
| - 10K<n<100K |
| --- |
| # Dataset Card for Dataset Name |
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| Homepage: https://genfusion.sibowu.com/ |
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| Repository: https://github.com/Inception3D/GenFusion?tab=readme-ov-file |
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| Paper: [GenFusion: Closing the Loop between Reconstruction and Generation via Videos](https://arxiv.org/pdf/2503.21219) |
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| ## Dataset Details |
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| Dataset that was used for training in Genfusion paper. The dataset is mostly sourced from the [DL3DV-10k dataset](https://arxiv.org/abs/2312.16256) |
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| ### Dataset Description |
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| A large-scale scene dataset, featuring 51.2 million frames from 10,510 videos captured from 65 types of point-of-interest (POI) locations, covering both bounded and unbounded scenes, with different levels of reflection, transparency, and lighting. |
| This dataset is used to train a diffusion model to reconstruct and generate detailed 3D scenes from sparse or partial video views. |
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| ### Dataset Sources [optional] |
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| Sourced from [DL3DV-10k dataset](https://arxiv.org/abs/2312.16256) |
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| - **Repository:** https://github.com/DL3DV-10K/Dataset |
| - **Paper:** [DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision](https://arxiv.org/abs/2312.16256) |
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| ## Uses |
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| 1. 3D scene reconstruction from monocular or multi-view video |
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| 2. Generative modeling of 3D environments |
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| 3. Sparse view synthesis and completion |
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| ## Citation |
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| Please cite the Genfusion and the DL3DV-10k paper |
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| ### Genfusion |
| ``` |
| @inproceedings{Wu2025GenFusion, |
| author = {Sibo Wu and Congrong Xu and Binbin Huang and Geiger Andreas and Anpei Chen}, |
| title = {GenFusion: Closing the Loop between Reconstruction and Generation via Videos}, |
| booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)}, |
| year = {2025} |
| } |
| ``` |
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| ### DL3DV-10k |
| ``` |
| @inproceedings{ling2024dl3dv, |
| title={Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision}, |
| author={Ling, Lu and Sheng, Yichen and Tu, Zhi and Zhao, Wentian and Xin, Cheng and Wan, Kun and Yu, Lantao and Guo, Qianyu and Yu, Zixun and Lu, Yawen and others}, |
| booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, |
| pages={22160--22169}, |
| year={2024} |
| } |
| ``` |
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