A decoupled dynamic-flow world model forecasts future occupancy and point clouds non-autoregressively, achieving second place and faster training on the OpenScene benchmark.
Point Cloud Forecasting as a Proxy for 4D Occu- pancy Forecasting
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D$^2$-World: An Efficient World Model through Decoupled Dynamic Flow
A decoupled dynamic-flow world model forecasts future occupancy and point clouds non-autoregressively, achieving second place and faster training on the OpenScene benchmark.