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Geographical Representativeness of Images from Text-to-Image Models
The dataset used in the paper is a crowdsourced study comprising 540 participants across 27 countries. -
Class-Conditional Self-Rewarding for Text-to-Image Models
Self-rewarding mechanism for Text-to-Image models, using image captioning methods. -
LAION-Aesthetics2
A dataset of images generated by various text-to-image models, including Stable Diffusion and Midjourney. -
Stable Diffusion and LAION
Stable Diffusion and LAION are used as training datasets for the FakeInversion model. -
DALL·E 2, DALL·E 3, Midjourney, and Imagen
DALL·E 2, DALL·E 3, Midjourney, and Imagen are text-to-image models used in the paper for training and evaluation.
