Style recommendation and simulation for handmade artworks using generative adversarial networks
Abstract Today, artificial intelligence (AI) is used in the design and production of artworks as a powerful tool that helps artists and designers to create more creative and attractive artworks. AI as a new tool has created new opportunities to create and improve artworks. Therefore, in this study,...
Saved in:
| Main Authors: | Mengzhen Wan, Nie Jing |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-79144-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Handmade, Terracotta Animal Figurines from the Athenian Acropolis
by: Vassiliki D. Georgaka
Published: (2014-06-01) -
COPYRIGHT PROTECTED PLASTIC ARTWORK IN THE LIGHT OF THE EUROPEAN AND ROMANIAN LAWS AND THE ARTWORK VALUE RELEVANCE
by: Mihai OLARIU
Published: (2018-05-01) -
Training Courses's Effectiveness of the Handmade-Carpet Cooperatives
by: Reza Movahedi, et al.
Published: (2023-05-01) -
TEXT DESCRIPTION TO IMAGE GENERATION USING GENERATIVE ADVERSARIAL NETWORK
by: Kayal Padmanandam, et al.
Published: (2024-12-01) -
Handmade green tea: Antioxidant content and activity
by: Mehtap Atak, et al.
Published: (2024-12-01)