67 citations · 147 across the 13 of their papers we have counts for
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cs.LG2023★ 1 cited
Towards Mode Balancing of Generative Models via Diversity Weights
Sebastian Berns, Simon Colton, Christian Guckelsberger
Large data-driven image models are extensively used to support creative and artistic work. Under the currently predominant distribution-fitting paradigm, a dataset is treated as gr…
cs.HC2023★ 67 cited
"An Adapt-or-Die Type of Situation": Perception, Adoption, and Use of Text-To-Image-Generation AI by Game Industry Professionals
Veera Vimpari, Annakaisa Kultima, Perttu Hämäläinen +1
Text-to-image generation (TTIG) models, a recent addition to creative AI, can generate images based on a text description. These models have begun to rival the work of professional…