What Drives Compositional Generalization in Visual Generative Models? The Importance of Continuous Training Objectives.

arXiv:2510.03075v4 Announce Type: replace-cross Abstract: Compositional generalization, the ability to generate novel combinations of known concepts, is a key ingredient for visual generative models. Yet, not all mechanisms that enable or inhibit it are fully