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FERGI: Automatic Annotation of User Preferences for Text-to-Image Generation from Spontaneous Facial Expression Reaction
March 25, 2024, 4:43 a.m. | Shuangquan Feng, Junhua Ma, Virginia R. de Sa
cs.LG updates on arXiv.org arxiv.org
Abstract: Researchers have proposed to use data of human preference feedback to fine-tune text-to-image generative models. However, the scalability of human feedback collection has been limited by its reliance on manual annotation. Therefore, we develop and test a method to automatically annotate user preferences from their spontaneous facial expression reaction to the generated images. We collect a dataset of Facial Expression Reaction to Generated Images (FERGI) and show that the activations of multiple facial action units …
annotation arxiv cs.ai cs.cv cs.hc cs.lg image image generation text text-to-image type
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