Preprint Open access
CARE: Condition-Aware Representation Regularization for Diffusion Models
Recent advances in diffusion models highlight the importance of representation regularization for improving sample quality and training efficiency. However, commonly used regularization methods often overlook the built-in conditions (such as labels or texts) which directly determine the generation target. In this work, …