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VoxelMatters4d
Sparc3D introduces next-gen high-resolution 3D model generation
Explore how Sparc3D transforms 2D images into detailed 3D models with AI-powered efficiency and precision. Discover more.
Scientific Research Publishing2mon
Variational Auto-Encoder and Speeded-Up Robust Features Hybrd Model for Anomaly Detection and Localization in Video SequenCE with Scale Variation - Scientific Research Publishing
2.2. Variational Autoencoder (VAE) The VAE is a generative model that learns a probabilistic representation of the input data. It consists of an encoder where q 0 (z | x) and the decoder p 0 (z | x), ...
IEEE11mon
Enhancing Gas Turbine Fault Diagnosis Using a Multi-Scale Dilated Graph Variational Autoencoder Model - IEEE Xplore
This paper proposes a Multi-scale Dilated Variational Graph Convolutional Autoencoder (MG-VAE) model for gas turbine fault diagnosis. The model integrates a multi-scale dilated convolutional attention ...
IEEE1y
Generating Polyphonic Symbolic Emotional Music in the Style of Bach Using Convolutional Conditional Variational Autoencoder
This article presents the process of building a system generating polyphonic music content of a specified emotion using a conditional variational autoencoder and convolutional layers. The process of ...
Frontiers2y
Spatio-temporal categorization for first-person-view videos using a convolutional variational autoencoder and Gaussian processes - Frontiers
Keywords: convolutional variational autoencoder, Gaussian process, hidden semi-Markov model, spatio-temporal categorization, segmentation, unsupervised learning Citation: Nagano M, Nakamura T, Nagai T ...