IEEE

CVA 2 E: A Conditional Variational Autoencoder With an Adversarial Training Process for Hyperspectral Imagery Classification

Abstract: Deep generative models such as the generative adversarial network (GAN) and the variational autoencoder (VAE) have obtained increasing attention in a wide variety of applications.
IEEE

Automatically Inverse Design of FSSs by Conditional Variational Autoencoder and Equivalent Circuit Models With Large Language Models

Abstract: Recently, deep learning has attracted intensive attentions in electromagnetic society, especially for inverse problems. In this work, we propose two language-guided automatic design ...
GitHub

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

In our recent paper, we propose VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. Several recent end-to-end text-to-speech (TTS) models enabling single ...
GitHub

JunhanZhang0808/Conditional-VAE-Image-Generator

基于 条件变分自编码器 Conditional Variational Autoencoder, CVAE 的轻量级图像生成项目。 本项目可以使用一组图片进行训练 ...
C&EN

Low Data Drug Discovery with One-Shot Learning

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