A hybrid attention generative adversarial network for Chinese landscape painting
Abstract In traditional Chinese painting, the genre of landscapes is unique and universally valued. For an untrained person to achieve such results is very difficult, requiring mastery of such things as brushwork, composition, and color. In this paper, we propose HA-GAN to transform sketches into Ch...
Saved in:
Main Authors: | Qiongshuai Lyu, Na Zhao, Zhiyuan Sun, Yu Yang, Chi Zhang, Ruolin Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-84676-7 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism
by: Jingqi Zhao, et al.
Published: (2024-03-01) -
Stock price prediction with attentive temporal convolution-based generative adversarial network
by: Ying Liu, et al.
Published: (2025-03-01) -
Adversarial Robust Modulation Recognition Guided by Attention Mechanisms
by: Quanhai Zhan, et al.
Published: (2025-01-01) -
Patch-Based Oil Painting Forgery Detection Based on Brushstroke Analysis Using Generative Adversarial Networks and Depth Visualization
by: Elhamsadat Azimi, et al.
Published: (2024-12-01) -
The Malayan Landscape Paintings
by: Sarena Abdullah, et al.
Published: (2025-01-01)