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Yapay Zeka Hızlı Bakış & Çıkarımlar
AI Insight⚡ TL;DR(1 Cümlede Hızlı Çıkarım)
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
📌 3 Maddede Bu Makale
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Amaç & Hipotez:GANs have been getting better and better each year.
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Temel Bulgular & Veri:The state of the art GAN models for generating 2D images have become so good it is hard to differentiate generated images nowadays.
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Sonuç & Katkı: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
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Generative art · Videogame · StyleGAN
Abstract
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
Anahtar kelimeler
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Bu Makaleye Atıf Yap
Ergen, İ. (2023). Generating video game characters using StyleGAN2. Journal of Awareness, Cilt: 8 Sayı: 1, 57–61. https://ajindex.com/articles/1232341