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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Bibliographic Details
Main Author: Chua, Zhong En
Other Authors: Tan Yap Peng
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157317
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author Chua, Zhong En
author2 Tan Yap Peng
author_facet Tan Yap Peng
Chua, Zhong En
author_sort Chua, Zhong En
collection NTU
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.
first_indexed 2024-10-01T05:21:17Z
format Final Year Project (FYP)
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institution Nanyang Technological University
language English
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spelling ntu-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
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Chua, Zhong En
Face transformation using StyleGAN
title Face transformation using StyleGAN
title_full Face transformation using StyleGAN
title_fullStr Face transformation using StyleGAN
title_full_unstemmed Face transformation using StyleGAN
title_short Face transformation using StyleGAN
title_sort face transformation using stylegan
topic Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
url https://hdl.handle.net/10356/157317
work_keys_str_mv AT chuazhongen facetransformationusingstylegan