Generative Adversarial Networks for Anime Face Generation — Step
Por um escritor misterioso
Last updated 03 abril 2025

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…

List Of 14 Generative Adversarial Networks (GANs) Applications

Generate Anime Style Face Using DCGAN and Explore Its Latent Feature Representation, by Haryo Akbarianto Wibowo

Making Anime Faces With StyleGAN ·

Beginner's Guide on Types of Generative Adversarial Networks

In-Domain GAN Inversion for Anime Character, by Jiasheng Tang, AI2 Labs

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 for Anime Face Generation — Step by step Tutorial using PyTorch, by Anusha Ihalapathirana

PDF] AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation

Generative adversarial network and its applications to speech signal and natural language processing (INTERSPEECH 2019 tutorial)

My MangaGAN: Building My First Generative Adversarial Network, by Nikita Sharma

Generating Anime Characters with StyleGAN2, by Fathy Rashad

Fake Anime Characters Using Deep Convolutional GANs, by Rishik C. Mourya
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