LO-World: unified BEV latent model boosts 4D occupancy +10.9% IoU, LiDAR CD -30.1%
Zhimin Liao · hf · 2026-11-12
XJTU researchers propose LO-World, a unified 4D world model forecasting LiDAR point clouds and 3D semantic occupancy in a shared BEV latent space via UniTokenizer/UniGen, instead of treating modalities independently. Reported gains: +10.9% average occupancy IoU and -30.1% LiDAR CD with real-time throughput.
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