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SDF-StyleGAN-3D
SerdarHelli/SDF-StyleGAN-3D
SDF-StyleGAN-3D is a machine learning model from SerdarHelli. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
- SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation - Zheng, Xin-Yang and Liu, Yang and Wang, Peng-Shuai and Tong, Xin, 2022
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Public
Updated Dec 11, 2022
Repo size
688 MB
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4
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.ckpt688 MB · 100%
At a glance
- License
- other
- Access
- Public
- Created
- Dec 8, 2022
- Updated
- Dec 11, 2022
- SHA
- a8e0a137
Datasets
Model card
From the Hugging Face model README
Model Description
- SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation
- Zheng, Xin-Yang and Liu, Yang and Wang, Peng-Shuai and Tong, Xin, 2022
The proposed deeplearning model for 3D shape generation called signed distance field (SDF) - SDF-StyleGAN, whicH is based on StyleGAN2. The goal of this approach is to minimize the visual and geometric differences between the generated shapes and a collection of existing shapes.
Documents
Datasets
ShapeNet is a comprehensive 3D shape dataset created for research in computer graphics, computer vision, robotics and related diciplines.
How to use
Training snippets are published under the official GitHub repository above.
BibTeX Entry and Citation Info
@inproceedings{zheng2022sdfstylegan,
title = {SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation},
author = {Zheng, Xin-Yang and Liu, Yang and Wang, Peng-Shuai and Tong, Xin},
booktitle = {Comput. Graph. Forum (SGP)},
year = {2022},
}
- License
- other
- Created
- Dec 8, 2022
- Updated
- Dec 11, 2022