This paper proposes Synonymous Variational Inference, a novel variational inference that first theoretically explains the core reason for the divergence term’s existence in the perceptual image ...

Initially, autoencoders were primarily used for data compression and dimensionality reduction. Their ability to encode data into a lower-dimensional space while retaining essential features made them ...

Autoencoders and Variational Autoencoders are essential tools for dimension reduction and image compression. Introduced in 2006, Autoencoders learn efficient data representations by compressing input ...

Given the uniqueness of synthetic aperture radar (SAR) images, traditional optical image compression algorithms cannot fully exploit their redundant information. To improve SAR image compression in ...