Revisiting Spectral Representations in Generative Diffusion Models
This paper investigates the connection between self-supervised spectral representation learning and diffusion generative models through a shared perspective on perturbation kernels and finds that the optimization of the spectral alignment objective is in an equivalent form of diffusion score distillation in the represe...