Takuya Asakura

Diffusion-Based Generative Regularization for Cross-Modal Supervised Learning

Diffusion-based generative regularization is proposed, a supervised discriminative learning framework that leverages a frozen diffusion-based generative model as a regularizer without explicitly generating additional training samples to improve supervised discriminative learning.