Expo-GAN: A Style Transfer Generative Adversarial Network for Exhibition Hall Design Based on Optimized Cyclic and Neural Architecture Search
This study presents a groundbreaking method named Expo-GAN (Exposition-Generative Adversarial Network) for style transfer in exhibition hall design, using a refined version of the Cycle Generative Adversarial Network (CycleGA... | Find, read and cite all the research you need on Tech Science Press
Authors
- Ruiyun Yu (ORCID: https://orcid.org/0000-0003-0523-6242)
- Qing Xie (ORCID: https://orcid.org/0000-0003-2520-1768)
Institutions
- Northeastern University (CN)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.063345
- Primary Topic
- 3D Surveying and Cultural Heritage
- Type
- article
- Field-Weighted Citation Impact
- 0.00