BaMSGAN: Self-Attention Generative Adversarial Network with Blur and Memory for Anime Face Generation

BaMSGAN: Self-Attention Generative Adversarial Network with Blur and Memory for Anime Face Generation

In this paper, we propose a novel network, self-attention generative adversarial network with blur and memory (BaMSGAN), for generating anime faces with improved clarity and faster convergence while retaining the capacity for continuous learning. Traditional self-attention generative adversarial net...

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Bibliographic Details
Main Authors: Xu Li, Bowei Li, Minghao Fang, Rui Huang, Xiaoran Huang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Mathematics
Subjects:
anime face generation
self-attention generative adversarial network
blur dataset
memory replay
generative adversarial network
self-attention
Online Access:https://www.mdpi.com/2227-7390/11/20/4401

Internet

https://www.mdpi.com/2227-7390/11/20/4401

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