CrowdGAN : Identity-Free Interactive Crowd Video Generation and Beyond

In this paper, we introduce a novel yet challenging research problem, interactive crowd video generation, committed to producing diverse and continuous crowd video, and relieving the difficulty of insufficient annotated real-world datasets in crowd analysis. Our goal is to recursively generate reali...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 6 vom: 01. Juni, Seite 2856-2871
1. Verfasser: Chai, Liangyu (VerfasserIn)
Weitere Verfasser: Liu, Yongtuo, Liu, Wenxi, Han, Guoqiang, He, Shengfeng
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article