A flow-matching model that builds its starting noise from random walks matched to the observed motion produces more accurate trajectory predictions with only 5 integration steps.
Worrall, and Max Welling
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation
A flow-matching model that builds its starting noise from random walks matched to the observed motion produces more accurate trajectory predictions with only 5 integration steps.