The seminal work of Gatys et al. demonstrated the power of Convolutional Neural Networks
(CNNs) in creating artistic imagery by separating and recombining image content and style …

Abstract Cyanobacterial Harmful Algal Blooms (CyanoHABs) in lakes and reservoirs have
increased substantially in recent decades due to different environmental factors. Its early …

Exemplar-based texture synthesis is the process of generating, from an input sample, new
texture images of arbitrary size and which are perceptually equivalent to the sample. The …

These days deep learning is the fastest-growing area in the field of Machine Learning.
Convolutional Neural Networks are currently the main tool used for the image analysis and …

Chinese traditional painting is one of the most historical artworks in the world. It is very
popular in Eastern and Southeast Asia due to being aesthetically appealing. Compared with …

Counterfeit apps impersonate existing popular apps in attempts to misguide users to install
them for various reasons such as collecting personal information, spreading malware, or …

Methods and systems for image texture enhancement are disclosed. In some aspects,
texture information for a plural ity of object types is stored in a database. Objects are …

Style transfer is a technique that learns style features from different domains and applies
these features to other images. It can not only play a role in the field of artistic creation but …

Style transfer methods produce a transferred image which is a rendering of a content image
in the manner of a style image. We seek to understand how to improve style transfer. To do …

Image style transfer is a method that can output styled images, which can both retain the
original image content and add new artistic style. When using neural network, this method is …