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Neural Stereoscopic Image Style Transfer [PDF]

open access: yesLecture Notes in Computer Science, 2018
Neural style transfer is an emerging technique which is able to endow daily-life images with attractive artistic styles. Previous work has succeeded in applying convolutional neural networks (CNNs) to style transfer for monocular images or videos. However, style transfer for stereoscopic images is still a missing piece.
Fumin Shen, Wei Liu, Xinyu Gong
exaly   +4 more sources

Tear the Image Into Strips for Style Transfer

IEEE Transactions on Multimedia, 2022
Recently, Deep Convolutional Neural Networks (DCNNs) have achieved remarkable progress in computer vision community, including in style transfer tasks. Normally, most methods feed the full image to the DCNN. Although highquality results can be achieved in this manner, several underlying problems arise.
Yujie Huang   +4 more
openaire   +1 more source

Semantic Context-Aware Image Style Transfer [PDF]

open access: yesIEEE Transactions on Image Processing, 2022
To provide semantic image style transfer results which are consistent with human perception, transferring styles of semantic regions of the style image to their corresponding semantic regions of the content image is necessary. However, when the object categories between the content and style images are not the same, it is difficult to match semantic ...
Chun-Rong Huang
exaly   +4 more sources

Image Style Transfer With a Group of Similar Styles

Proceedings of the 33rd International Conference on Computer Graphics and Vision, 2023
Image style transfer is a widely used applied task of automatic redrawing of the source image (content) in the style of another image (setting the target style). Traditional style transfer methods provide only a single stylization result. If the user does not like it, for example, due to artifacts that appear during styling, then he has to choose ...
Valeriy Ponamaryov, Victor Kitov
openaire   +1 more source

Aesthetic-Aware Image Style Transfer

Proceedings of the 28th ACM International Conference on Multimedia, 2020
Style transfer aims to synthesize an image which inherits the content of one image while preserving a similar style of the other one. The "style'' of an image usually refers to its unique feeling conveyed from visual features, which is highly related to the aesthetic effect of the image.
Zhiyuan Hu   +4 more
openaire   +2 more sources

Saliency-Guided Image Style Transfer

2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2019
In this paper, we propose an automatic saliency-guide style transfer method, which deploys style transfer to the salient object in an image. Our method can generate a new artwork form of image, which aggregates the characteristics of real-world images and artistic images.
Xiuwen Liu   +3 more
openaire   +2 more sources

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