Recent advances in diffusion models have significantly enhanced their ability to generate
high-quality images and videos, but they have also increased the risk of producing unsafe …

Visual diffusion models have revolutionized the field of creative AI, producing high-quality
and diverse content. However, they inevitably memorize training images or videos …

Text-to-Image (T2I) models have made remarkable progress in generating high-quality,
diverse visual content from natural language prompts. However, their ability to reproduce …

During pre-training, the Text-to-Image (T2I) diffusion models encode factual knowledge into
their parameters. These parameterized facts enable realistic image generation, but they may …

Implicit assumptions and priors are often necessary in text-to-image generation tasks,
especially when textual prompts lack sufficient context. However, these assumptions can …

Generative AI presents transformative potential across various domains, from creative arts to
scientific visualization. However, the utility of AI-generated imagery is often compromised by …