工作流程
创造力
计算机科学
透明度(行为)
自治
资产(计算机安全)
绘画
多媒体
视觉艺术
艺术
计算机安全
心理学
政治学
社会心理学
数据库
法学
作者
Zejian Li,Ying Zhang,Shengzhe Zhou,Qi Liu,Jiesi Zhang,Haoran Xu,Shuyao Chen,Xiaoyu Chen,Lingyun Sun
标识
DOI:10.1080/10447318.2024.2382508
摘要
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 creators. Traditional artist-led processes contrast with current AI tools that often reduce creators to passive roles. This study examines the integration of AI image generation into commercial digital art, emphasizing the importance of preserving creators' creative autonomy. Our formative study (S1) involved interviews with commercial digital art creators, highlighting a need for greater control and transparency in AI-assisted painting. In response, we developed RealtimeGen, an integrated tool that merges human creativity with AI's capabilities, allowing creators to intervene in the generative process. A user study (S2) comparing RealtimeGen with the popular AIGC tool Stable Diffusion was also carried out. The results showed its enhanced user experience and workflow compatibility. Our work contributes to understanding and improving AI-assisted painting workflows for commercial creators, offering them greater creative agency.
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