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

SVG-T2I: Scaling up Text-to-Image Latent Diffusion Model

Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
IEEE

Detection of Texting While Walking in Occluded Environment Using Variational Autoencoder for Safe Mobile Robot Navigation

Abstract: As autonomous mobile robots begin to populate public spaces, it is becoming increasingly important for robots to accurately distinguish pedestrians and navigate safely to avoid collisions.
GitHub

Variational AutoEncoder Tiny Model

This project demonstrates the use of a Variational AutoEncoder (VAE) to learn a latent space representation of simple synthetic data: black-and-white images of circles with varying radius, x, and y ...