The demo analyzes a dataset of 3,823 images of handwritten digits where each image is 8 by 8 pixels. The demo program presented in this article uses image data, but the autoencoder anomaly detection ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

At 1 sample per pixel (spp), the Monte Carlo integration of indirect illumination results in very noisy images, and the problem can therefore be framed as reconstruction instead of denoising. Previous ...