An autoregressive diffusion model on sparse point trajectories predicts multi-modal future scene dynamics from single images with orders-of-magnitude faster sampling than dense video simulators while matching accuracy.
The trajectron: Proba- bilistic multi-agent trajectory modeling with dynamic spa- tiotemporal graphs
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JACoP is a new framework using an anchor-based profiler and MRF aligner to produce multi-agent trajectory predictions with optimal scene-level compliance by minimizing joint social and environmental costs.
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Envisioning the Future, One Step at a Time
An autoregressive diffusion model on sparse point trajectories predicts multi-modal future scene dynamics from single images with orders-of-magnitude faster sampling than dense video simulators while matching accuracy.
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JACoP: Joint Alignment for Compliant Multi-Agent Prediction
JACoP is a new framework using an anchor-based profiler and MRF aligner to produce multi-agent trajectory predictions with optimal scene-level compliance by minimizing joint social and environmental costs.