Article

MRO-GWM: Action-Conditional and Object-Centric Gaussian Splatting World Model for Rigid Objects

The authors propose MRO-GWM, an object-centric Gaussian world model for learning action-conditional dynamics of 3D rigid objects. The model represents arbitrary shapes and multi-object scenes with Gaussians in an object-centric frame, and uses a temporal-spatial Transformer to predict rigid body motion from past Gaussians and future actions; training is based on multi-view reconstruction, which requires handling partial observations caused by occlusion.

Part of the event: MRO-GWM: A Gaussian World Model for Rigid Objects

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