GitHub

ti2ni1m/Image-Generation-with-Conditional-Variational-Autoencoder-C-VAE-and-Conditional-GAN-C-GAN-

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 ...
GitHub

Samgeorge2003/Conditional-Variational-Autoencoder-CVAE

Objective: To implement a CVAE, train it on a dataset of your choice (e.g., MNIST, Fashion MNIST, or a dataset of images with associated attributes), and generate new data points conditioned on ...
IEEE

A Radio Map Estimation Method Based on Improved Conditional Variational Autoencoder

Abstract: A radio map is a specialized representation that depicts the power spectral density across a specific region. By leveraging electromagnetic maps, the efficient utilization of spectrum ...
IEEE

Conditional Generative Flow-Induced Variational Autoencoder for Plasma Instances Augmentation

Abstract: In this article, we propose a novel conditional generative flow-induced variational autoencoder (CGlow-VAE) model to address the critical challenge of the small sample issue in plasma ...