The intelligent development and preservation of folk sports culture under artificial intelligence
Abstract To promote the intelligent development and preservation of folk sports culture, this work proposes a model grounded in the Cycle-Consistent Generative Adversarial Network (CycleGAN) to produce high-quality human images that recreate traditional sports movements. In order to improve the perf...
Saved in:
| Main Authors: | Zhihui Li, Shamsulariffin Bin Samsudin, Noor Hamzani Farizan, Zulkhairi Azizi Zainal Abidin, Lei Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-98779-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The application of suitable sports games for junior high school students based on deep learning and artificial intelligence
by: Xueyan Ji, et al.
Published: (2025-05-01) -
A Four‐Dimensional Variational Informed Generative Adversarial Network for Data Assimilation
by: Wuxin Wang, et al.
Published: (2025-06-01) -
Folk Medicine, Folk Healing
by: Mustafa SEVER
Published: (2015-12-01) -
A paired CT and MRI dataset for advanced medical imaging applicationsKaggle
by: Zakaria Shams Siam, et al.
Published: (2025-08-01) -
Generative Artificial Intelligence for Hyperspectral Sensor Data: A Review
by: Diaa Addeen Abuhani, et al.
Published: (2025-01-01)