Add Dataset card for Genfusion training data

README.md

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+---
+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.
+
+
+### 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
+
+1. 3D scene reconstruction from monocular or multi-view video
+
+2. Generative modeling of 3D environments
+
+3. Sparse view synthesis and completion
+
+
+
+## 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}
+}
+```