Feature Selective Model Collapse in Diffusion Models: Total Replacement versus Fixed-Budget Training

Model collapse arises when generative models are trained on synthetic data produced by earlier models. The phenomenon has attracted considerable attention because of its societal and technical implications. However, previous studies have reached seemingly contradictory conclusions: replacing real da