Stylized Crowd Formation Transformation Through Spatiotemporal Adversarial Learning

Stylized Crowd Formation Transformation Through Spatiotemporal Adversarial Learning

Achieving crowd formation transformations has wide‐ranging applications in fields such as unmanned aerial vehicle formation control, crowd simulation, and large‐scale performances. However, planning trajectories for hundreds of agents is a challenging and tedious task. When modifying crowd formation...

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Bibliographic Details
Main Authors:	Dapeng Yan, Kexiang Huang, Longfei Zhang, Gang Yi Ding
Format:	Article
Language:	English
Published:	Wiley 2024-03-01
Series:	Advanced Intelligent Systems
Subjects:	conditional generative adversarial network crowd formations crowd simulation generative adversarial network style transfer
Online Access:	https://doi.org/10.1002/aisy.202300563

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