Guided neural style transfer for shape stylization.
PLoS One
; 15(6): e0233489, 2020.
Article
en En
| MEDLINE
| ID: mdl-32497055
ABSTRACT
Designing logos, typefaces, and other decorated shapes can require professional skills. In this paper, we aim to produce new and unique decorated shapes by stylizing ordinary shapes with machine learning. Specifically, we combined parametric and non-parametric neural style transfer algorithms to transfer both local and global features. Furthermore, we introduced a distance-based guiding to the neural style transfer process, so that only the foreground shape will be decorated. Lastly, qualitative evaluation and ablation studies are provided to demonstrate the usefulness of the proposed method.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Arte
/
Gráficos por Computador
/
Diseño Asistido por Computadora
/
Aprendizaje Automático
Tipo de estudio:
Qualitative_research
Límite:
Humans
Idioma:
En
Revista:
PLoS One
Asunto de la revista:
CIENCIA
/
MEDICINA
Año:
2020
Tipo del documento:
Article
País de afiliación:
Japón