We plan to create a very interesting demo by combining Segment Anything and a series of 3D models! Right now, this is just a simple small project. We will continue to improve it and create more interesting demos.
- SAM + Zero 1-to-3
- SAM + HRN
Segmentation | Result |
---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
If you find this project helpful for your research, please consider citing the following BibTeX entry.
@article{kirillov2023segany,
title={Segment Anything},
author={Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao, Tete and Whitehead, Spencer and Berg, Alexander C. and Lo, Wan-Yen and Doll{\'a}r, Piotr and Girshick, Ross},
journal={arXiv:2304.02643},
year={2023}
}
@misc{liu2023zero1to3,
title={Zero-1-to-3: Zero-shot One Image to 3D Object},
author={Ruoshi Liu and Rundi Wu and Basile Van Hoorick and Pavel Tokmakov and Sergey Zakharov and Carl Vondrick},
year={2023},
eprint={2303.11328},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@inproceedings{Lei2023AHR,
title={A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images},
author={Biwen Lei and Jianqiang Ren and Mengyang Feng and Miaomiao Cui and Xuansong Xie},
year={2023}
}