Paper Info
Title
HeterStyle: A Heterogeneous Video Style Transfer Application.
Abstract
Video style transfer aims to synthesize a stylized video that preserves the content of a given video and is rendered in the style of a reference image.A key issue in video style transfer is how to balance video content preservation and reference style rendering, in order to avoid over-stylization with serious video content loss or under-stylization with unrecognized reference style. In this demonstration, we illustrate a novel video style transfer application, named HeterStyle, which can stylize different regions in the video with adaptive intensities.The core algorithm of HeterStyle application is our proposed heterogeneous video style transfer method, which minimizes a heterogeneous style transfer loss function considering content, style and temporal consistency in a Convolutional Neural Networks based optimization framework.With the HeterStyle application, a user can easily generate the stylized videos with good video content preservation and reference style rendering.
Year
DOI
Venue
2018
10.1145/3240508.3241402
MM '18: ACM Multimedia Conference Seoul Republic of Korea October, 2018
Keywords
Field
DocType
Video style transfer, heterogeneous stylization, salient object detection, optical flow, convolutional neural networks
Computer vision,Salient object detection,Computer science,Convolutional neural network,Stylized fact,Artificial intelligence,Rendering (computer graphics),Optical flow,Temporal consistency
Conference
ISBN
Citations 
PageRank 
978-1-4503-5665-7
0
0.34
References 
Authors
1
6
Name
Order
Citations
PageRank
Xingyu Liu100.68
Jingfan Guo2312.60
Tongwei Ren332830.22
Ya-Hong Han447644.97
Lei Huang521.32
Gangshan Wu627536.63