A context-guided diffusion model with energy-based joint refinement improves both marginal and joint metrics for multi-agent motion prediction on standard benchmarks.
A self-adaptive parameter selection trajectory prediction approach via hidden markov models.TITS, 16(1): 284–296
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Diverse Yet Consistent: Context-Guided Diffusion with Energy-Based Joint Refinement for Multi-Agent Motion Prediction
A context-guided diffusion model with energy-based joint refinement improves both marginal and joint metrics for multi-agent motion prediction on standard benchmarks.