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About NVAE - A Deep Hierarchical Variational Autoencoder
NVAE is a deep hierarchical variational autoencoder (VAE) that achieves state-of-the-art results on image generation tasks. It uses depthwise separable convolutions to rapidly increase the receptive field without dramatically increasing parameters. Training is stabilized through a residual parameterization of the approximate posterior and spectral regularization. NVAE pushes the VAE state-of-the-art on CIFAR-10 from 2.98 to 2.91 bits per dimension and generates high quality 256x256 images, making it the first successful VAE applied to such large natural images.
Detailed Information
| Author: | ['test test'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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