littlekoyo/dl3dv_chunked
DL3DV Post-processed for Less3Depend This dataset is a post-processed version of the DL3DV-10K dataset, specifically prepared for the repository ๐ Less3Depend. The goal of this release is to provide a clean, unified, and research-ready variant of DL3DV that is directly usable in ๐ PixelSplat style. Acknowledgement If you find this dataset useful in your research, please consider citing: 1๏ธโฃ DL3DV Original Dataset: @inproceedings{ling2024dl3dvโฆ See the full description on the dataset page: https://huggingface.co/datasets/littlekoyo/dl3dv_chunked.
DL3DV Post-processed for Less3Depend
This dataset is a post-processed version of the DL3DV-10K dataset, specifically prepared for the repository ๐ [Less3Depend](https://github.com/ou524u/Less3Depend).
The goal of this release is to provide a clean, unified, and research-ready variant of DL3DV that is directly usable in ๐ PixelSplat style.
Acknowledgement
If you find this dataset useful in your research, please consider citing:
1๏ธโฃ DL3DV Original Dataset:
@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}
}2๏ธโฃ Post-processing & Experimental Efforts from Less3Depend:
@inproceedings{wang2026less3depend,
title={The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images with Minimal 3D Knowledge},
author={Haoru Wang and Kai Ye and Minghan Qin and Yangyan Li and Wenzheng Chen and Baoquan Chen},
booktitle={International Conference on Learning Representations (ICLR)},
year={2026},
url={https://openreview.net/forum?id=QXc2NBJFHr}
}Contact
If you have questions, issues, or would like to build upon this dataset:
- GitHub: https://github.com/ou524u/Less3Depend
- Homepage: https://ou524u.github.io/
Contributions and feedback are welcome.
