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...
Yuehao Wang, Peihao Wang, Hanwen Jiang et al.
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