Application of Variational AutoEncoder (VAE) Model and Image Processing Approaches in Game Design

In recent decades, the Variational AutoEncoder (VAE) model has shown good potential and capability in image generation and dimensionality reduction. The combination of VAE and various machine learning frameworks has also worked effectively in different daily life applications, however its possible u...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 23; H. 7; S. 3457
Hauptverfasser:	Mak, Hugo Wai Leung, Han, Runze, Yin, Hoover H. F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 25.03.2023 MDPI
Schlagworte:	21st century Algorithms Architecture Artificial intelligence Bayesian algorithm Case studies Cellular telephones Computer & video games data clustering Design Designers game design Genre image and video generation Image processing loss function Machine learning Personal computers Simulation Smartphones variational autoencoder (VAE) China loss function Bayesian algorithm data clustering generator and discriminator MNIST database data and image analytics image and video generation variational autoencoder (VAE) game design
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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