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MaTe3D
Ellis/MaTe3D
MaTe3D is a machine learning model from Ellis. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as cc-by-nc-2.0.
[ArXiv] MaTe3D: Mask-guided Text-based 3D-aware Portrait Editing Kangneng Zhou, Daiheng Gao, Xuan Wang, Jie Zhang, Peng Zhang, Xusen Sun, Longhao Zhang, Shiqi Yang, Bang Zhang, Liefeng Bo, Yaxing Wang, Yaxing Wang, Mi…
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Public
Updated Aug 30, 2024
Repo size
6.9 GB
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3
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.safetensors2.9 GB · 73%
At a glance
- Library
- diffusers
- License
- cc-by-nc-2.0
- Access
- Public
- Created
- Jul 4, 2024
- Updated
- Aug 30, 2024
- SHA
- 2add8c00
Model card
From the Hugging Face model README
MaTe3D Pretrained Models
[ArXiv] MaTe3D: Mask-guided Text-based 3D-aware Portrait Editing
Kangneng Zhou, Daiheng Gao, Xuan Wang, Jie Zhang, Peng Zhang, Xusen Sun, Longhao Zhang, Shiqi Yang, Bang Zhang, Liefeng Bo, Yaxing Wang, Yaxing Wang, Ming-Ming Cheng
Pretrained Generator on FFHQ Mask
Pretrained Generator on CatMask-HQ
Pretrained ControlNet on FFHQ Mask
Pretrained ControlNet on CatMask-HQ
Contact
Citation
If you find this project helpful to your research, please consider citing:
@article{zhou2023mate3d,
title = {MaTe3D: Mask-guided Text-based 3D-aware Portrait Editing},
author = {Kangneng Zhou, Daiheng Gao, Xuan Wang, Jie Zhang, Peng Zhang, Xusen Sun, Longhao Zhang, Shiqi Yang, Bang Zhang, Liefeng Bo, Yaxing Wang, Ming-Ming Cheng},
journal = {arXiv preprint arXiv:2312.06947},
website = {https://montaellis.github.io/mate-3d/},
year = {2023}}
- Library
- diffusers
- License
- cc-by-nc-2.0
- Created
- Jul 4, 2024
- Updated
- Aug 30, 2024