Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
–Neural Information Processing Systems
Simulating large scenes with many rigid objects is crucial for a variety of applications, such as robotics, engineering, film and video games. Rigid interactions are notoriously hard to model: small changes to the initial state or the simulation parameters can lead to large changes in the final state.
Neural Information Processing Systems
Feb-18-2026, 11:31:21 GMT
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