VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation, NeurIPS 2023
Zekun Qi, Muzhou Yu, Runpei Dong and Kaisheng Ma
- 🎆 Sep, 2023: VPP is accepted to NeurIPS 2023.
- 💥 Aug, 2023: Check out our previous work ACT and ReCon about 3D represent learning, which have been accepted by ICLR & ICML 2023.
This repository contains the code release of VPP⚡: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation.
Code will be coming soon.
If you have any questions related to the code or the paper, feel free to email Zekun (qizekun@gmail.com).
VPP is released under MIT License. See the LICENSE file for more details.
This codebase is built upon Point-MAE, CLIP and SLIDE
If you find our work useful in your research, please consider citing:
@inproceedings{vpp2023,
title={{VPP}: Efficient Universal 3D Generation via Voxel-Point Progressive Representation},
author={Qi, Zekun and Yu, Muzhou and Dong, Runpei and Ma, Kaisheng},
booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
year={2023},
url={https://openreview.net/forum?id=etd0ebzGOG}
}