Results 241 to 250 of about 131,036 (273)
Some of the next articles are maybe not open access.

Evolving Neural Style Transfer Blends

2021
Neural style transfer is an image filtering technique used in both digital art practice and commercial software. We investigate blending the styles afforded by neural models via interpolation and overlaying different stylisations. In order to produce preset stylisation filters for the development of a casual creator app, we experiment with various MAP ...
openaire   +1 more source

Masked Neural Style Transfer using Convolutional Neural Networks

2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE), 2018
In painting, humans can draw an interrelation between the style and the content of a given image in order to enhance visual experiences. Deep neural networks like convolutional neural networks are being used to draw a satisfying conclusion of this problem of neural style transfer due to their exceptional results in the key areas of visual perceptions ...
Arushi Handa, Prerna Garg, Vijay Khare
openaire   +1 more source

Neural Style Transfer to Design Drapes

2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2017
Neural style transfer is a concept where the style of an abstract artwork is transferred to an image. Since past two years, neural style transfer has become a gravitated topic both in academic literature and industrial applications. Receiving an increasing attention from computer vision researchers, several ways are being proposed to either improve or ...
Pankil Daru   +3 more
openaire   +1 more source

Font Style Transfer Using Neural Style Transfer and Unsupervised Cross-domain Transfer

2019
In this paper, we study about font generation and conversion. The previous methods dealt with characters as ones made of strokes. On the contrary, we extract features, which are equivalent to the strokes, from font images and texture or pattern images using deep learning, and transform the design pattern of font images.
Atsushi Narusawa   +2 more
openaire   +1 more source

Neural Style Transfer

2022
Teik Toe Teoh, Zheng Rong
openaire   +1 more source

Transforming heat transfer with thermal metamaterials and devices

Nature Reviews Materials, 2021
Ying Li, Wei Li, Tiancheng Han
exaly  

Case Study: Neural Style Transfer

2022
Liang Wang   +2 more
openaire   +1 more source

Horizontal gene transfer and adaptive evolution in bacteria

Nature Reviews Microbiology, 2021
Brian J Arnold, William P Hanage
exaly  

Personalizing Apparel using Neural Style Transfer

2017
Convolutional Neural Networks have been highly successful in performing a set of computer vision tasks such as object recognition, object detection, image segmentation and texture synthesis. Gatys et al. (Gatys, Ecker, & Bethge 2015b) show how the artistic style of a painter can be extracted from an image of the painting and applied to another ...
openaire   +1 more source

Home - About - Disclaimer - Privacy