Understanding and Mitigating Copying in Diffusion Models

Explore the challenges and solutions surrounding content replication in diffusion models through this Google TechTalk presented by Gowthami Somepalli. Delve into various frameworks for detecting replication and learn about the study that identified memorization in Stable Diffusion 1.4. Examine the factors contributing to memorization in diffusion models, including the often-overlooked role of text conditioning. Discover proposed techniques for reducing data replication during both training and inference times. Gain valuable insights into the complexities of maintaining originality in AI-generated art and graphic design as cutting-edge diffusion models continue to produce high-quality, customizable images for commercial purposes.

Understanding and Mitigating Copying in Diffusion Models