Nanowerk

Generative AI designs better fuel cell catalyst layers in seconds instead of months

A generative AI framework rapidly designs optimized fuel cell catalyst layers that deliver significantly better performance ...
GitHub

Descript Audio Codec - VAE Variant (.dac-vae): High-Fidelity Audio Compression with Variational Autoencoder

This repository contains training and inference scripts for the Descript Audio Codec VAE variant (.dac-vae), a modified version of the original DAC that replaces the RVQGAN architecture with a ...
IEEE

A Voice Cloning Approach Utilizing Dual Attention Mechanism and Mixed Logistic Distribution

Abstract: Although current voice cloning technologies have achieved significant advancements in speech clarity and naturalness, they still exhibit insufficient robustness when processing low-quality ...
Scientific Research Publishing

A Hybrid CNN-LSTM Variational Autoencoder for Treatment Response Prediction in Synthetic Psychiatric Data ()

Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of conventional ...
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 ...