Realistic face generation using deep neural networks (StyleGAN)

An investigation into the baseline GAN and progressive GAN (PGGAN) and subsequent works like the style-based GAN architectures (StyleGAN & StyleGAN2) for facial feature disentanglement. Analysis of the structure of the latent space and random distribution will lead to an understanding of the ima...

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Bibliographic Details
Main Author: Toh, Wilson Chin Shen
Other Authors: Wen Bihan
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/150264
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Institution: Nanyang Technological University
Language: English