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PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios
May 1, 2024, 4:45 a.m. | Jingbo Wang, Zhengyi Luo, Ye Yuan, Yixuan Li, Bo Dai
cs.CV updates on arXiv.org arxiv.org
Abstract: We address the challenge of content diversity and controllability in pedestrian simulation for driving scenarios. Recent pedestrian animation frameworks have a significant limitation wherein they primarily focus on either following trajectory [46] or the content of the reference video [57], consequently overlooking the potential diversity of human motion within such scenarios. This limitation restricts the ability to generate pedestrian behaviors that exhibit a wider range of variations and realistic motions and therefore restricts its usage …
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