/LN3Diff

LN3Diff creates high-quality 3D object mesh from text within 8 V100-SECONDS.

OtherNOASSERTION

LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation

Yushi Lan1Fangzhou Hong1Shuai Yang2Shangchen Zhou1Xuyi Meng1
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

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 👊


🤝 Citation

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}
}

🗞️ License

Distributed under the S-Lab License. See LICENSE for more information.

Contact

If you have any question, please feel free to contact us via lanyushi15@gmail.com.