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Title: Face transformation using StyleGAN
Authors: Chua, Zhong En
Keywords: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Chua, Z. E. (2022). Face transformation using StyleGAN. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: A3245-211
Abstract: 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.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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