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.

Similar Docs  Excel Report  more

TitleSimilaritySource
None found