Results 1 to 10 of about 475,373 (270)

Fluorescence Image Histology Pattern Transformation Using Image Style Transfer [PDF]

Frontiers in Oncology, 2019
Confocal laser endomicroscopy (CLE) allow on-the-fly in vivo intraoperative imaging in a discreet field of view, especially for brain tumors, rather than extracting tissue for examination ex vivo with conventional light microscopy.
Mohammadhassan Izadyyazdanabadi, Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Xiaochun Zhao, Leandro Borba Moreira, Sirin Gandhi, Claudio Cavallo, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang   +10 more
doaj   +5 more sources

IFFMStyle: High-Quality Image Style Transfer Using Invalid Feature Filter Modules [PDF]

Sensors, 2022
Image style transfer is a challenging problem in computer vision which aims at rendering an image into different styles. A lot of progress has been made to transfer the style of one painting of a representative artist in real time, whereas less attention
Zhijie Xu, Liyan Hou, Jianqin Zhang
doaj   +2 more sources

Image Style Transfer via Multi-Style Geometry Warping

Applied Sciences, 2022
Style transfer of an image has been receiving attention from the scientific community since its inception in 2015. This topic is characterized by an accelerated process of innovation; it has been defined by techniques that blend content and style, first ...
Ioana Alexandru, Constantin Nicula, Cristian Prodan, Răzvan-Paul Rotaru, Mihai-Lucian Voncilă, Nicolae Tarbă, Costin-Anton Boiangiu   +6 more
doaj   +2 more sources

StyDiff: a refined style transfer method based on diffusion models [PDF]

Scientific Reports
Image style transfer is a key research area in computer vision. Despite significant progress, challenges such as mode collapse, over-stylization, and insufficient style transfer persist, impacting image quality and stability.
Yanming Sun, He Meng
doaj   +2 more sources

A model integrating attention mechanism and generative adversarial network for image style transfer [PDF]

PeerJ Computer Science
Image style transfer is an important way to combine different styles and contents to generate new images, which plays an important role in computer vision tasks such as image reconstruction and image texture synthesis.
Miaomiao Fu, Yixing Liu, Rongrong Ma, Binbin Zhang, Linli Wu, Lingli Zhu   +5 more
doaj   +3 more sources

Enhancing media image style transfer with advanced StyleGAN2 architectures [PDF]

Scientific Reports
This paper presents a media image style transfer approach built upon an enhanced StyleGAN2 framework, designed to address common issues in traditional style transfer methods such as mode collapse, loss of image details, and style distortion. The proposed
Yixuan Qin
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Arbitrary Image Style Transfer with Consistent Semantic Style [PDF]

Jisuanji kexue, 2023
The goal of image style transfer is to synthesize an output image by transferring the style of the target image to a given content image.There are a large number of image style transfer works,but the stylization results ignore the manifold distribution ...
YAN Mingqiang, YU Pengfei, LI Haiyan, LI Hongsong
doaj   +1 more source

Image Style Transfer Algorithm Based on Semantic Segmentation

IEEE Access, 2021
Most of the existing image style transfer algorithms transfer the whole image style as a whole. Style feature is a set of correlation matrix based on style image, namely Gram matrix. Each matrix is a global description of the style image.
Zhijie Lin, Zhizhong Wang, Haibo Chen, Xiaolong Ma, Chuan Xie, Wei Xing, Lei Zhao, Wei Song   +7 more
doaj   +1 more source

Application of Deep Learning Algorithms to Visual Communication Courses

Frontiers in Psychology, 2021
There are rare studies on the combination of visual communication courses and image style transfer. Nevertheless, such a combination can make students understand the difference in perception brought by image styles more vividly.
Zewen Wang, Jiayi Li, Jieting Wu, Hui Xu
doaj   +1 more source

Survey of image style transfer based on neural network

Dianzi Jishu Yingyong, 2022
In order to promote the research of image style transfer technology based on neural network, the main methods and representative work of image style transfer based on neural network are summarized and discussed in this paper.
Liu Jianfeng, Zhong Guoyun
doaj   +1 more source