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SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints

CVPR 2019 · Multi-agent systems and games › Human-AI and goal-conditioned · approach: Interactive multi-agent trajectory prediction · 1,115 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add both social and physical attention to the generative model (ablation)SoPhie · ETH-UCY AVGADE: 0.58 -> 0.54Helped
add both social and physical attention to the generative model (ablation)SoPhie · SDDADE: 19.25 -> 16.27Helped
add physical attention to image features (ablation)SoPhie · ETH-UCY AVGADE: 0.61 -> 0.57Helped
add social attention to trajectory features (ablation)SoPhie · ETH-UCY AVGADE: 0.61 -> 0.58Helped
add either physical attention or social attention rather than neither (ablation)SoPhie · SDDADE: 18.40 -> 16.52; 18.40 -> 17.57Helped
add both attention mechanisms rather than physical attention only (ablation)SoPhie · SDDADE: 16.52 -> 16.27Helped
add physical attention to the trajectory-only model (ablation)SoPhie · ETH-UCY AVGADE: 0.61 -> 0.54Helped
add physical attention to the trajectory-only model (ablation)SoPhie · SDDADE: 17.76 -> 16.27Helped
use social and physical context without attention (ablation)SoPhie · ETH-UCY AVGADE: 0.54 -> 0.61Hurt
use social and physical context without attention (ablation)SoPhie · SDDADE: 16.27 -> 18.40Hurt
use the complete model rather than social features and social attention only (ablation)SoPhie · ETH-UCY AVGADE: 0.61 -> 0.54Helped
use the complete model rather than social features and social attention only (ablation)SoPhie · SDDADE: 17.76 -> 16.27Helped

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