Face transformation using StyleGAN
This paper describes a simple method to discover controls for StyleGAN image synthesis. Important latent directions were derived from a linear Support Vector Machine classifier and regressor. Then, it was shown that these directions could be used to transform human faces; such as changing the gend...
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/157317 |
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sg-ntu-dr.10356-1573172023-07-07T19:09:11Z Face transformation using StyleGAN Chua, Zhong En Tan Yap Peng School of Electrical and Electronic Engineering EYPTan@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence This paper describes a simple method to discover controls for StyleGAN image synthesis. Important latent directions were derived from a linear Support Vector Machine classifier and regressor. Then, it was shown that these directions could be used to transform human faces; such as changing the gender, hair length, head position, smile and more. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-13T07:13:04Z 2022-05-13T07:13:04Z 2022 Final Year Project (FYP) Chua, Z. E. (2022). Face transformation using StyleGAN. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157317 https://hdl.handle.net/10356/157317 en A3245-211 application/pdf Nanyang Technological University |
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Asia |
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Singapore Singapore |
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English |
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Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
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Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Chua, Zhong En Face transformation using StyleGAN |
| description |
This paper describes a simple method to discover controls for StyleGAN image
synthesis. Important latent directions were derived from a linear Support Vector Machine classifier and regressor. Then, it was shown that these directions could be used to
transform human faces; such as changing the gender, hair length, head position, smile and more. |
| author2 |
Tan Yap Peng |
| author_facet |
Tan Yap Peng Chua, Zhong En |
| format |
Final Year Project |
| author |
Chua, Zhong En |
| author_sort |
Chua, Zhong En |
| title |
Face transformation using StyleGAN |
| title_short |
Face transformation using StyleGAN |
| title_full |
Face transformation using StyleGAN |
| title_fullStr |
Face transformation using StyleGAN |
| title_full_unstemmed |
Face transformation using StyleGAN |
| title_sort |
face transformation using stylegan |
| publisher |
Nanyang Technological University |
| publishDate |
2022 |
| url |
https://hdl.handle.net/10356/157317 |
| _version_ |
1772826954212311040 |