Partial disentanglement of hierarchical variational auto‐encoder for texture synthesis

Partial disentanglement of hierarchical variational auto‐encoder for texture synthesis

Multiple research studies have recently demonstrated deep networks can generate realistic‐looking textures and stylised images from a single texture example. However, they suffer from some drawbacks. Generative adversarial networks are in general difficult to train. Multiple feature variations, enco...

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Bibliographic Details
Main Authors: Marek Jakab, Lukas Hudec, Wanda Benesova
Format: Article
Language:English
Published: Wiley 2020-12-01
Series:IET Computer Vision
Subjects:
latent variables
texture synthesis
synthesised texture images
partial disentanglement
multiple research studies
deep networks
Online Access:https://doi.org/10.1049/iet-cvi.2019.0416

Internet

https://doi.org/10.1049/iet-cvi.2019.0416

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