Flow-ERD achieves state-of-the-art realism and diversity on the WOSAC benchmark by coupling agent-type-aware flow matching with entropy-regularized distillation that prevents mode collapse during closed-loop fine-tuning.
Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation
Flow-ERD achieves state-of-the-art realism and diversity on the WOSAC benchmark by coupling agent-type-aware flow matching with entropy-regularized distillation that prevents mode collapse during closed-loop fine-tuning.