论文标题
部分可观测时空混沌系统的无模型预测
Machine learning based co-creative design framework
论文作者
论文摘要
我们提出了一个灵活的共同创造框架，将多种机器学习技术汇总在一起，以帮助人类用户有效地生产有效的创意设计。我们通过香水瓶设计案例研究来证明其潜力，包括人类评估以及定量和定性分析。
We propose a flexible, co-creative framework bringing together multiple machine learning techniques to assist human users to efficiently produce effective creative designs. We demonstrate its potential with a perfume bottle design case study, including human evaluation and quantitative and qualitative analyses.
