ContextCam: Bridging Context Awareness with Creative Human-AI Image Co-Creation

要旨

The rapid advancement of AI-generated content (AIGC) promises to transform various aspects of human life significantly. This work particularly focuses on the potential of AIGC to revolutionize image creation, such as photography and self-expression. We introduce ContextCam, a novel human-AI image co-creation system that integrates context awareness with mainstream AIGC technologies like Stable Diffusion. ContextCam provides user's image creation process with inspiration by extracting relevant contextual data, and leverages Large Language Model-based (LLM) multi-agents to co-create images with the user. A study with 16 participants and 136 scenarios revealed that ContextCam was well-received, showcasing personalized and diverse outputs as well as interesting user behavior patterns. Participants provided positive feedback on their engagement and enjoyment when using ContextCam, and acknowledged its ability to inspire creativity.

著者
Xianzhe Fan
Tsinghua University, Beijing, China
Zihan Wu
University of Michigan, Ann Arbor, Michigan, United States
Chun Yu
Tsinghua University, Beijing, China
Fenggui Rao
China Academy Of Art, HangZhou, ZheJiang, China
Weinan Shi
Tsinghua University, Beijing, China
Teng Tu
Tsinghua University, Beijing, China
論文URL

https://doi.org/10.1145/3613904.3642129

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Creative Media and AI

323C
5 件の発表
2024-05-15 20:00:00
2024-05-15 21:20:00