A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. ... the demo trains a VAE model using the 389 images. The demo concludes by using the trained VAE ...

Model architecture. Stable Diffusion uses a variational autoencoder (VAE) to generate detailed images from a caption with only a few words. Unlike prior autoencoder-based diffusion models, Stable ...

Explore how Sparc3D transforms 2D images into detailed 3D models with AI-powered efficiency and precision. Discover more.

They can be particularly difficult to obtain in the semiconductor industry due to the complexity and expense of the device fabrication. In this article, we propose a self-augmentation strategy for ...

The variational autoencoder (VAE) used by CompatibL is an accurate and stable type used in highly complex applications such as image and speech recognition and generation. CompatibL has used the same ...

Deep variational autoencoder for proteomics mass spectrometry data analysis. Research. Journal Research Funder the Ministry of Science and Technology of the People's Republic of China, ...