Generation and Perception: A Computational Evaluation Method for Visual Quality and Emotional Impact in AI Artworks
Key contributions include proposing a multi-task learning framework for jointly optimizing visual quality and emotion, establishing the inaugural VAWE-Art dataset comprising 5,000 AI-generated images with 20-dimensional emotional annotations, and providing computational foundations for emotion-controllable generative art systems.
Hengju Gang
· Journal of Engineering, Proj... · 0 citations