Results 241 to 250 of about 14,589,261 (282)

Word-Conditioned Image Style Transfer

2019
In recent years, deep learning has attracted attention not only as a method on image recognition but also as a technique for image generation and transformation. Above all, a method called Style Transfer is drawing much attention which can integrate two photos into one integrated photo regarding their content and style.
Yu Sugiyama, Keiji Yanai
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Arbitrary Image Emotionalizing with Style Transfer

2018
Endowing user-specified emotions on arbitrary images will be an interesting application. The emotion transfer of landscape photograph has shown greater appeal than the emotion transfer of facial image in the field of art design or painting. In this work, we present a novel method to synthesize arbitrarily specified emotions into the inputted landscape ...
Xing Luo, Jiajia Zhang, Guang Wu, Yanxiang Chen   +3 more
openaire   +2 more sources

Automatic Image Style Transfer using an Augmented Style Set

Programming and Computer Software
Image style transfer is an applied task for automatic rendering of the original image (content) in the style of another image (specifying the target style). Traditional image stylization methods provide only a single stylization result. If the user is not satisfied with it due to stylization artifacts, he has to choose a different style.
V. V. Ponamaryov, Victor V. Kitov
openaire   +1 more source

Text-Based Image Style Transfer and Synthesis

2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), 2019
In this work, we propose a novel framework for synthesizing the stylization of text-based images. It is composed of several steps without supervision. Initially, the style image is segmented to foreground and background images. Then, the main color of foreground is accumulated and assigned to the stroke-based binarized geometric shape like text ...
Yifan He, Jian Li, Anna Zhu
openaire   +2 more sources

Image Augmentation with Neural Style Transfer

2019
The amount of training data is of crucial importance for the performance of machine learning, and especially deep learning models. It is one of the most important factors that determine whether the developed model is effective or not. When the quantity of training data for a computer vision problem is insufficient, various data augmentation techniques ...
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Image Style Transfer in Deep Learning Networks

2018 5th International Conference on Systems and Informatics (ICSAI), 2018
Since Gatys et al. proved that the convolution neural network(CNN) can be used to generate new images with artistic styles by separating and recombining the styles and contents of images. Neural Style Transfer has attracted wide attention of computer vision researchers.
Yuanhao Li, Tianying Zhang, Xu Han, Yali Qi   +3 more
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Image neural style transfer: A review

Computers and Electrical Engineering, 2023
Qiang Cai, Mengxu Ma, Chen Wang 0043, Haisheng Li 0002   +3 more
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Image Style Transfer Based on CycleGAN

Proceedings of the 2023 International Conference on Communication Network and Machine Learning, 2023
Lisha Yao, Qiaoqiao Feng
openaire   +1 more source

Semantic Image Style Transfer

2023 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA), 2023
S. Binu Stalin, J.E. Judith, C. Dhayananth Jegan   +2 more
openaire   +1 more source

Explicit Filterbank Learning for Neural Image Style Transfer and Image Processing

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Jing Liao, Lu Yuan, Gang Hua
exaly