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Shengwen Zhao

1 accepted papers

2025

Towards foundational LiDAR world models with efficient latent flow matching

NeurIPS 2025poster

LiDAR-based world models offer more structured and geometry-aware representations than their image-based counterparts. However, existing LiDAR world models are narrowly trained; each model excels only in the domain for which it was built. This raises a critical question: can we develop LiDAR world m…

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