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Occworld: Learning a 3d occupancy world model for autonomous driving

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it

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cs.CV 1

years

2026 1

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UNVERDICTED 1

representative citing papers

GEM: Generating LiDAR World Model via Deformable Mamba

cs.CV · 2026-05-08 · unverdicted · novelty 6.0

GEM is a new LiDAR world model using deformable Mamba that disentangles dynamic and static features to generate high-fidelity simulations and achieve state-of-the-art results on autonomous driving benchmarks.

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  • GEM: Generating LiDAR World Model via Deformable Mamba cs.CV · 2026-05-08 · unverdicted · none · ref 54

    GEM is a new LiDAR world model using deformable Mamba that disentangles dynamic and static features to generate high-fidelity simulations and achieve state-of-the-art results on autonomous driving benchmarks.