Generating human faces by generative adversarial network
Style transfer is the process of merging the content of one image with the style of another to create a stylized image. In this work, I first study popular style transfer techniques such as Neural Style Transfer and AdaIN. However, current style transfer techniques do not allow fine-level control...
Saved in:
Main Author: | Tao, Weijing |
---|---|
Other Authors: | Chen Change Loy |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/153248 |
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 networks
by: S Sri Kalki
Published: (2022) -
Generating human face by generative adversarial networks
by: Soh, Cecelia Yan Pei
Published: (2023) -
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)