Mario Michelessa

Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation

Diversity in image generation is essential to ensure fair representations and support creativity in ideation. Hence, many text-to-image models have implemented diversification mechanisms. Yet, after a few iterations of generation, a lack of diversity becomes apparent, because each user has their own diversity goals (e…