Generative Adversarial Networks for Anime Face Generation — Step
Por um escritor misterioso
Last updated 05 novembro 2024
In recent years, Generative adversarial networks (GAN) become a very popular research field to generate artificial data, especially for image generation. Many people love anime cartoons and want them…
How to create Anime Faces using GANs in PyTorch? - Coding Ninjas
GitHub - nikitaa30/Manga-GAN: Generative Adversarial Network for Manga-face Generation
In-Domain GAN Inversion for Anime Character, by Jiasheng Tang, AI2 Labs
DCGAN — Implementing Deep Convolutional Generative Adversarial Network in TensorFlow — Idiot Developer, by Nikhil Tomar, Analytics Vidhya
Generative Adversarial Networks(GANs)
Anigan: Style-Guided Generative Adversarial Networks For Unsupervised Anime Face Generation, PDF
My MangaGAN: Building My First Generative Adversarial Network, by Nikita Sharma
Generative adversarial network: An overview of theory and applications - ScienceDirect
Mathematics, Free Full-Text
Frontiers Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends
Generative Adversarial Networks(GANs)
AniFaceDrawing: Anime Portrait Exploration during Your Sketching
Frontiers Generative Adversarial Networks and Its Applications in Biomedical Informatics
18 Impressive Applications of Generative Adversarial Networks (GANs)
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