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...
Main Author: | Chua, Zhong En |
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Other Authors: | Tan Yap Peng |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/157317 |
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