Results 31 to 40 of about 4,536,944 (240)

Convolutional Neural Network Style Transfer Towards Chinese Paintings

IEEE Access, 2019
Chinese painting is one of the most important cultural heritages. However, creating a Chinese painting usually requires specific skills, patience, and years of professional training.
Jiachuan Sheng, Caifeng Song, Jun Wang, Yahong Han   +3 more
doaj   +1 more source

Deep Learning-Based Motion Style Transfer Tools, Techniques and Future Challenges

Sensors, 2023
In the fourth industrial revolution, the scale of execution for interactive applications increased substantially. These interactive and animated applications are human-centric, and the representation of human motion is unavoidable, making the ...
Syed Muhammad Abrar Akber, Sadia Nishat Kazmi, Syed Muhammad Mohsin, Agnieszka Szczęsna   +3 more
doaj   +1 more source

Comparison of Neural Style Transfer Performance of Deep Learning Models

, 2021
Neural style transfer is one of the most studied topics in both academic and industrial fields. Quality and performance enhancement are among the most targeted goals in the studies.
Ali ARI, Batuhan KARADAĞ, Karadag, Muge, Müge KARADAĞ, Karadag, Batuhan, Ari, Ali   +5 more
core   +1 more source

Neural-Style-Transfer-Review

, 2019
Project page for the paper "Neural Style Transfer: A Review" (https://arxiv.org/abs/1705 ...
Yongcheng Jing
core   +2 more sources

Image and Video Style Transfer Based on Transformer

IEEE Access, 2023
The essence of image style transfer is to generate images that both maintain in the original content image and present the effect with artistic features under the guidance of style images.
Sun Fengxue, Sun Yanguo, Lan Zhenping, Wang Yanqi, Zhang Nianchao, Wang Yuru, Li Ping   +6 more
doaj   +1 more source

Augment CAPTCHA Security Using Adversarial Examples With Neural Style Transfer

IEEE Access, 2023
To counteract rising bots, many CAPTCHAs (Completely Automated Public Turing tests to tell Computers and Humans Apart) have been developed throughout the years.
Nghia Dinh, Kiet Tran-Trung, Vinh Truong Hoang   +2 more
doaj   +1 more source

Block Shuffle: A Method for High-Resolution Fast Style Transfer With Limited Memory

IEEE Access, 2020
Fast Style Transfer is a series of Neural Style Transfer algorithms that use feed-forward neural networks to render input images. Because of the high dimension of the output layer, these networks require much memory for computation.
Weifeng Ma, Zhe Chen, Caoting Ji
doaj   +1 more source

Sand Painting Generation Based on Convolutional Neural Networks

Journal of Imaging
Neural style transfer is an algorithm that transfers the style of one image to another image and converts the style of the second image while preserving its content.
Chin-Chen Chang, Ping-Hao Peng
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Image Neural Style Transfer With Preserving the Salient Regions

IEEE Access, 2019
Neural style transfer recently has become one of the most popular topics in academic research and industrial application. The existing methods can generate synthetic images by transferring different styles of some images to another given content images ...
Yijun Liu, Zuoteng Xu, Wujian Ye, Ziwen Zhang, Shaowei Weng, Chin-Chen Chang, Huajin Tang   +6 more
doaj   +1 more source