most citedAA-SGAN: Adversarially Augmented Social GAN with Synthetic Data

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 2 cited

AA-SGAN: Adversarially Augmented Social GAN with Synthetic Data

Mirko Zaffaroni, Federico Signoretta, Marco Grangetto +1

Accurately predicting pedestrian trajectories is crucial in applications such as autonomous driving or service robotics, to name a few. Deep generative models achieve top performan…