The author introduces MAGID, a framework that augments text-only dialogues with high-quality images to create multi-modal datasets. By incorporating a feedback loop and innovative modules, MAGID generates realistic and diverse multi-modal dialogues.
MAGID introduces a framework for augmenting text-only dialogues with diverse and high-quality images, utilizing a feedback loop to generate multi-modal dialogues.