Pose Conditioned Human Motion Generation Using Generative Adversarial Networks

Andres Aguilar Luhrs; Saúl Tovar‐Arriaga; Jesús Carlos Pedraza‐Ortega; András Takács

doi:10.1007/978-3-030-99170-8_17

ScienceGate Book Chapters

BOOK-CHAPTER

Pose Conditioned Human Motion Generation Using Generative Adversarial Networks

Andres Aguilar Luhrs Saúl Tovar‐Arriaga Jesús Carlos Pedraza‐Ortega András Takács

Year: 2022 Communications in computer and information science Pages: 232-246 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-99170-8_17

Get Full-Text PDF Get Analytical Report

Keywords:

Adversarial system Generative grammar Motion (physics) Generative adversarial network Artificial intelligence Computer science Human motion Cognitive science Communication Neuroscience Psychology Deep learning

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.08

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Motion and Animation

Physical Sciences → Engineering → Control and Systems Engineering

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Pose Conditioned Human Motion Generation Using Generative Adversarial Networks

Metrics

Topics

Related Documents

Pose-Guided Image Generation Using Generative Adversarial Networks

Generative adversarial networks for pose-guided human video generation

Wav2Pix: Speech-conditioned Face Generation Using Generative Adversarial Networks

Generation of Pedestrian Pose Structures using Generative Adversarial Networks

Human Motion Imitation using Generative Adversarial Networks