BPA-GAN: Human motion transfer using body-part-aware generative adversarial networks-Reference-Cited by-同舟云学术

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BPA-GAN: Human motion transfer using body-part-aware generative adversarial networks

Published:2021-05 Issue: Volume:115 Page:101107
ISSN:1524-0703
Container-title:Graphical Models
language:en
Short-container-title:Graphical Models

Author:

Jiang Jinfeng^ORCID,Li Guiqing,Wu Shihao,Zhang Huiqian,Nie Yongwei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Geometry and Topology,Modelling and Simulation,Software

Reference50 articles.

1. Everybody dance now;Chan,2019

2. Deep video-based performance cloning;Aberman,2019

3. Liquid warping GAN: a unified framework for human motion imitation, appearance transfer and novel view synthesis;Liu,2019

4. Image-to-image translation with conditional adversarial networks;Isola,2017

5. Body part segmentation of noisy human silhouette images;Barnard,2008

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1. High-fidelity facial expression transfer using part-based local–global conditional gans;The Visual Computer;2023-07-26

2. Pose driven motion image generation aided by depth information;Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering;2023-05-12

3. Human Pose Transfer Based on Deep Learning Models: A Survey;2022 3rd Information Technology To Enhance e-learning and Other Application (IT-ELA);2022-12-27

4. InsetGAN for Full-Body Image Generation;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

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