Paper Info
Title
Wallpaper Texture Generation and Style Transfer Based on Multi-Label Semantics
Abstract
Textures contain a wealth of image information and are widely used in various fields such as computer graphics and computer vision. With the development of machine learning, the texture synthesis and generation have been greatly improved. As a very common element in everyday life, wallpapers contain a wealth of texture information, making it difficult to annotate with a simple single label. Moreov...
Year
DOI
Venue
2022
10.1109/TCSVT.2021.3078560
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
DocType
Volume
Semantics,Generative adversarial networks,Training,Task analysis,Image color analysis,Generators,Computer vision
Journal
32
Issue
ISSN
Citations 
3
1051-8215
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Ying Gao1428.50
Xiaohan Feng200.34
Tiange Zhang302.37
Eric Rigall400.34
Huiyu Zhou56414.22
Lin Qi6186.47
Junyu Dong739377.68