animefacegeneration

2022年1月13日 — Generative adversarial networks (GAN) are popular and powerful machine learning techniques used in image, text, video, and voice generation.

由 B Li 著作 · 2021 · 被引用 46 次 — We propose AniGAN, a novel GAN-based translator that synthesizes high-quality anime-faces. Specifically, a new generator architecture is ...

The objective of the project is to generate images of Anime faces using a Deep Convolutional GAN. The DCGAN has two networks, the 'generator' and the ' ...

We will train a GAN to generate images of anime character's faces, human faces, art, and handwritten digits. We will build four generative models on MNIST, ...

In this work, we aim at generating anime-style faces from human faces in the real world. We construct a Face2Anime Dataset, performed the generative ...

The goal is to create new faces of anime characters using a Deep Convolutional Generative Adversarial Network (DCGAN). Here is the same approach used on the ...