5 datasets found

The dataset used in the paper is a crowdsourced study comprising 540 participants across 27 countries.

A text-to-image diffusion model trained on a recaptioned dataset to improve image generation quality and semantic alignment.

Self-rewarding mechanism for Text-to-Image models, using image captioning methods.

Text-to-image diffusion models, e.g. Stable Diffusion (SD), lately have shown remarkable ability in high-quality content generation, and become one of the representatives for...

A dataset of images generated by various text-to-image models, including Stable Diffusion and Midjourney.