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https://hdl.handle.net/10356/157317| 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. https://hdl.handle.net/10356/157317 | 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. | URI: | https://hdl.handle.net/10356/157317 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FYP_Final_Report.pdf Restricted Access | 3.56 MB | Adobe PDF | View/Open |
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