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 ...
Abstract: Most recently, learned image compression methods have outpaced traditional hand-crafted standard codecs. However, their inference typically requires to input the whole image at the cost of ...
Abstract: Advanced deep-learning methodologies have led to notable improvements in hyperspectral image compression. While most existing deep learning approaches primarily concentrate on reducing ...
This project implements a Variational Autoencoder (VAE) for image generation. Unlike standard autoencoders, VAE learns a probabilistic latent space by encoding images to a distribution and sampling ...