animefacegeneration

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 adversarial ...

This dataset is often used for varying projects with anime faces. I will keep this dataset up-to-date and clean, along with including fun scripts for generating ...

由 X Li 著作 · 2023 — In this paper, we propose a novel network, self-attention generative adversarial network with blur and memory (BaMSGAN), for generating anime faces with ...

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.

The goal of this project is to generate realistic anime faces. The model used for this task is a deep convolutional generative adversarial network (DCGAN). The ...

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 ...

由 B Li 著作 · 2021 · 被引用 62 次 — We propose AniGAN, a novel GAN-based translator that synthesizes high-quality anime-faces. Specifically, a new generator architecture is ...