PCA和AutoEncoder這兩個方法，大家因該都是耳熟能詳。兩者的差異在於PCA是使用線性變換的方式，透過乘上一個矩陣 ...

This section describes how to train a Variational Autoencoder (VAE) using perceptual loss, i.e. instead of a loss that depends on the pixel-wise difference between the training image and the ...

In this paper, we propose a context-aware approach to perform text-to-image generation, which separates background and foreground for generating high-quality images, as well as utilizes ...