Abstract: Masked autoencoders (MAEs) have established themselves as a powerful pretraining method for computer vision tasks. While vanilla MAEs put equal emphasis on reconstructing the individual ...

Abstract: In recent years, Variational Autoencoders (VAEs) have attracted considerable interest due to their capability to generate high-fidelity data while safeguarding user privacy through ...