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One2345plus

SUDO-AI-3D/One2345plus on GitHub: Models, Vision models, 3D, Computer vision, Image production.

ModelsVision models
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1
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Created 2023-11-13 · Updated 2026-10-06 · #16776 today
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Colin97

SUDO-AI-3D/One2345plus is ranked 16,776 with 572 stars.

Same-category comparison

SUDO-AI-3D/One2345plus is ranked 16,776 among these 8 peers; ictnlp/LLaVA-Mini is ranked 16,769.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
CategoryModels
SubcategoryVision models
Keywords3D, Computer vision, Image production
Stars572
Forks10
Contributors1
Created date2023-11-13
Updated date2026-10-06
Stars in 1 day0
Stars in 7 days0
Rank16,776
Previous rank16,571
Rank change-205
7-day stars rank15,718
Previous 7-day stars rank15,731
7-day stars rank change13
Total stars rank17,420
Previous total stars rank17,393
Total stars rank change-27
README summary

One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion [ Paper ] [ Project ] [ Demo ] [ BibTeX ] One-2-3-45++ is capable of transforming a single RGB image of any object into a high-fidelity textured mesh in under one minute . The generated meshes closely mirror the of the original input image. One-2-3-45++ can be trained with only 8 A100 GPUs . News **[11/14/2023]** We have released paper! Related Work

[\[Zero123\]]( [\[Zero123++\]]( [\[One-2-3-45\]]( Citation If you find our code helpful, please cite our paper:

Frequently asked questions

How many stars and forks are recorded?

SUDO-AI-3D/One2345plus has 572 stars and 10 forks.

What is the repository rank?

SUDO-AI-3D/One2345plus is ranked 16,776.

Which repository is closest in rank?

SUDO-AI-3D/One2345plus is compared with ictnlp/LLaVA-Mini, ranked 16,769 with 573 stars.

README

One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion

[Paper] [Project] [Demo] [BibTeX]

https://github.com/SUDO-AI-3D/One2345plus/assets/16759292/9c9e6f62-a9f4-4ded-8374-bd1e19c7fdf0

One-2-3-45++ is capable of transforming a single RGB image of any object into a high-fidelity textured mesh in under one minute. The generated meshes closely mirror the of the original input image. One-2-3-45++ can be trained with only 8 A100 GPUs.

News

[11/14/2023] We have released paper!

[11/13/2023] We have released demo!

Related Work

[Zero123] [Zero123++] [One-2-3-45]

Citation

If you find our code helpful, please cite our paper:


@article{liu2023one2345++,
  title={One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion},
  author={Minghua Liu and Ruoxi Shi and Linghao Chen and Zhuoyang Zhang and Chao Xu and Xinyue Wei and Hansheng Chen and Chong Zeng and Jiayuan Gu and Hao Su},
  journal={arXiv preprint arXiv:2311.07885},
  year={2023}
}
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