Name
Title | ||
|---|---|---|
Generating Dance Videos Using Pose Transfer Generative Adversarial Network With Multiple Scale Region Extractor and Learnable Region Normalization |
Abstract | ||
|---|---|---|
In this article, we propose a pose transfer framework that can deal with large body motion to generate dance videos. To solve the problem of body shape deformation from large movements, a multiple scale region extractor (MSRE) is proposed. The features of each body region can be extracted from multiple layers of the encoder according to the body key points and passed through shortcuts to the decod... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/MMUL.2021.3113312 | IEEE MultiMedia |
Keywords | DocType | Volume |
Feature extraction,Videos,Decoding,Generative adversarial networks,Strain,Convolution,Urban areas | Journal | 29 |
Issue | ISSN | Citations |
1 | 1070-986X | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsu-Yung Cheng | 1 | 243 | 23.56 |
| Chih-Chang Yu | 2 | 32 | 8.93 |
| Chih-Lung Lin | 3 | 0 | 0.34 |