Multi-data Scene Flow Challenge

Leaderboard

Scene flow on Argoverse 2, Waymo, TruckScenes, nuScenes and Aeva, ranked by mean Dynamic (lower is better). Challenge details

Track: supervised (clear filter)
# Method mean Dynamic [35-70] AV2 [35-70]Waymo [35-70]TruckScenes [35-70]NuScenes [35-70]Aeva [35-70] Date
1 SynFlow-4k w real-data 0.2799 0.1277 0.1519 0.3327 0.4846 0.3024 2026-04-16
2 UniFlow-deltaflow 0.3103 0.1397 0.1686 0.3586 0.5548 0.3297 2026-04-06
3 UniFlow-flow4d 0.3333 0.1808 0.2035 0.3792 0.5151 0.3879 2026-04-06
4 DeltaFlow-av2 0.3491 0.1432 0.1804 0.4239 0.6473 0.3508 2026-04-06
5 UniFlow-ssf 0.3760 0.2140 0.2369 0.3776 0.5895 0.4620 2026-04-06
6 SSF-long-av2 0.5248 0.2467 0.3015 0.6001 0.8700 0.6059 2026-04-06
Not evaluated at 35–70 m · 1 entry. The team chose to evaluate only 0–35 m (e.g. the model crops the point cloud at 51.2 m), so it is not compared here. See the 0–35 m ranking.
– UncertaintyFlow not evaluated at 35–70 m (team's choice) 2026-06-01

Click a label such as supervised, unsupervised or multi-dataset to filter by it. Bold green marks the best value in each column. Dynamic metrics are speed-normalized EPE (unitless); Static and Threeway metrics are EPE in meters.