In this project, I aim to create a set of images of Kuzushiji Japanese characters via the Kuzushiji-49 dataset using 2 graphical models which are Conditional-Variational Autoencoder(C-VAE), and ...

Abstract: We present a variational autoencoder (VAE) learning framework with introspective training for conditional image synthesis, and explore conditional capsule encoder by class-wise mask label ...

Taking our project a step further, we've incorporated a Conditional Variational Autoencoder. This innovative addition empowers the model to generate images with specific class labels, providing ...

In this article, you will learn how conditional variational autoencoders (CVAEs) can be used for image inpainting, what are their advantages and challenges, and how they compare to other ...

such as manifestations of symmetry breaking phenomena in electron and scanning tunneling microscopy images, or variability of the nanoparticles. Variational autoencoders (VAEs) are emerging as a ...