Generating human face by generative adversarial networks
The Generative Adversarial Network (GAN) method is widely used for image generation, especially human face generation and modification. The recent GANs model can generate diverse photorealistic images and this relies on the powerful capabilities of semantic latent representation and feature disentan...
Saved in:
Main Author: | Soh, Cecelia Yan Pei |
---|---|
Other Authors: | Chen Change Loy |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/165834 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Generating human faces by generative adversarial networks
by: Quek, Chin Wei
Published: (2020) -
Generating human faces by generative adversarial network
by: Tao, Weijing
Published: (2021) -
Generating human faces by generative adversarial networks
by: S Sri Kalki
Published: (2022) -
Towards superior control in automatic face editing with generative adversarial networks
by: Zhang, Xijue
Published: (2022) -
Be a hairstylist - editing hair for face images using generative adversarial network
by: Lim, Wei Ze
Published: (2023)