Replication in Visual Diffusion Models: A Survey and Outlook

Understand

Visual diffusion models have revolutionized the field of creative AI, producing high-quality and diverse content.

• However, they inevitably memorize training images or videos, subsequently replicating their concepts, content, or styles during inference.
• This phenomenon raises significant concerns about privacy, security, and copyright within generated outputs.
• In this survey, we provide the first comprehensive review of replication in visual diffusion models, marking a novel contribution to the field by systematically categorizing the existing studies into unveiling, understanding, and mitigating this phenomenon.