Yushi Lan1
Fangzhou Hong1
Shuai Yang2
Shangchen Zhou1
Xuyi Meng1
Xingang Pan 1 Bo Dai 3 Chen Change Loy 1
Xingang Pan 1 Bo Dai 3 Chen Change Loy 1
S-Lab, Nanyang Technological University1;
Wangxuan Institute of Computer Technology, Peking University2;
Shanghai Artificial Intelligence Laboratory 3
Wangxuan Institute of Computer Technology, Peking University2;
Shanghai Artificial Intelligence Laboratory 3
LN3Diff is a feedforward 3D diffusion model that creates high-quality 3D object mesh from text within 8 V100-SECONDS.
A standing hund. | An UFO space aircraft. | A sailboat with mast. | An 18th century cannon. | A blue plastic chair. |
For more visual results, go checkout our project page 📃
Codes coming soon 👊
If you find our work useful for your research, please consider citing the paper:
@misc{lan2024ln3diff,
title={LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation},
author={Yushi Lan and Fangzhou Hong and Shuai Yang and Shangchen Zhou and Xuyi Meng and Bo Dai and Xingang Pan and Chen Change Loy},
year={2024},
eprint={2403.12019},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
Distributed under the S-Lab License. See LICENSE
for more information.
If you have any question, please feel free to contact us via lanyushi15@gmail.com
.