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Data-Driven Crowd Simulation with Generative Adversarial Networks.

Proceedings of the 32nd International Conference on Computer Animation and Social Agents, (2019): 1-4

Cited by: 3|Views180
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Abstract

This paper presents a novel data-driven crowd simulation method that can mimic the observed traffic of pedestrians in a given environment. Given a set of observed trajectories, we use a recent form of neural networks, Generative Adversarial Networks (GANs), to learn the properties of this set and generate new trajectories with similar pro...More

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