2026
Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering
AAAI 2026technical
As synthetic data proliferates across the Internet, it is often reused to train successive generations of generative models. This creates a "self-consuming loop" that can lead to training instability or *model collapse*. Common strategies to address the issue---such as accumulating historical traini