轮廓小波扩散--快速、高质量的面部表情生成模型

IF 3.2 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Connection Science Pub Date : 2024-02-14 DOI:10.1080/09540091.2024.2316023

Chenwei Xu, Yuntao Zou

引用次数: 0

摘要

面部表情是人际交往中传递信息的重要手段。扩散模型能生成更清晰、更有辨别力的高质量人脸图像，但它的训练和分析需要大量时间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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来源期刊

Connection Science 工程技术-计算机：理论方法

CiteScore

6.50

自引率

39.60%

发文量

审稿时长

3 months

期刊介绍： Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.