Generating video game characters using StyleGAN2


Özet Görüntüleme: 92 / PDF İndirme: 108

Yazarlar

DOI:

https://doi.org/10.26809/joa.1974

Anahtar Kelimeler:

Generative art- Videogame- StyleGAN

Özet

GANs have been getting better and better each year. The state of the art GAN models for generating 2D images have become so good it is hard to differentiate generated images nowadays. In this paper we create 3 different sparse data sets from video game assets and train them with StyleGAN2 to generate new artwork based on the previously existing artworks of the video game in question

İndirmeler

İndirme verileri henüz mevcut değil.

Referanslar

BRADISKI, G. (2000). The OpenCV Library. Dr. Dobb’s Journal of Software Tools, 2000.

Karras et al. Analyzing and improving the image quality of StyleGAN.

Karras et al. A style-based generator architecture for generative adversarial networks.

Karras et al. Training generative adversarial networks with limited data.

The ImageMagick Development Team. Imagemagick.

Yayınlanmış

2023-02-03

Nasıl Atıf Yapılır

Ergen, İsmail. (2023). Generating video game characters using StyleGAN2. JOURNAL OF AWARENESS, 8(1), 57–61. https://doi.org/10.26809/joa.1974

Sayı

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