RealtimeGen: An Intervenable AI Image Generation System for Commercial Digital Art Asset Creators

IF 3.4 3区计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Interaction Pub Date : 2024-08-07 DOI:10.1080/10447318.2024.2382508

Zejian Li, Ying Zhang, Shengzhe Zhou, Qi Liu, Jiesi Zhang, Haoran Xu, Shuyao Chen, Xiaoyu Chen, Lingyun Sun

引用次数: 0

Abstract

Recent advances in artificial intelligence-generated content (AIGC) have led to the rapid generation of high-quality images. AIGC has attracted the attention of commercial digital art asset creator...

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实时生成：面向商业数字艺术资产创作者的可干预人工智能图像生成系统

人工智能生成内容（AIGC）领域的最新进展促使高质量图像得以快速生成。人工智能生成内容吸引了商业数字艺术资产创造者的关注...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Human-Computer Interaction 工程技术-计算机：控制论

CiteScore

9.00

自引率

21.30%

发文量

347

审稿时长

2 months

期刊介绍： The International Journal of Human-Computer Interaction addresses the cognitive, creative, social, health, and ergonomic aspects of interactive computing. It emphasizes the human element in relation to the systems and contexts in which humans perform, operate, network, and communicate, including mobile apps, social media, online communities, and digital accessibility. The journal publishes original articles including reviews and reappraisals of the literature, empirical studies, and quantitative and qualitative contributions to the theories and applications of HCI.