96 citations · 153 across the 5 of their papers we have counts for
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cs.HC2022★ 96 cited
How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models
Hai Dang, Lukas Mecke, Florian Lehmann +2
Deep generative models have the potential to fundamentally change the way we create high-fidelity digital content but are often hard to control. Prompting a generative model is a p…
cs.HC2022★ 39 cited
GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information
Hai Dang, Lukas Mecke, Daniel Buschek
We investigate how multiple sliders with and without feedforward visualizations influence users' control of generative models. In an online study (N=138), we collected a dataset of…