| | --- |
| | license: mit |
| | size_categories: |
| | - 10K<n<100K |
| | --- |
| | # Dataset Card for Dataset Name |
| |
|
| | Homepage: https://genfusion.sibowu.com/ |
| |
|
| | Repository: https://github.com/Inception3D/GenFusion?tab=readme-ov-file |
| |
|
| | Paper: [GenFusion: Closing the Loop between Reconstruction and Generation via Videos](https://arxiv.org/pdf/2503.21219) |
| |
|
| | ## Dataset Details |
| |
|
| | 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) |
| |
|
| | ### Dataset Description |
| |
|
| | 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] |
| |
|
| | Sourced from [DL3DV-10k dataset](https://arxiv.org/abs/2312.16256) |
| |
|
| | - **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) |
| |
|
| | ## 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 |
| |
|
| | Please cite the Genfusion and the DL3DV-10k paper |
| |
|
| | ### 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} |
| | } |
| | ``` |
| |
|
| | ### 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} |
| | } |
| | ``` |
| |
|
