26 citations · 54 across the 8 of their papers we have counts for
6 papers · 1 filter
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen +3
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 ha…
Scaling Face Interaction Graph Networks to Real World Scenes
Tatiana Lopez-Guevara, Yulia Rubanova, William F. Whitney +3
Accurately simulating real world object dynamics is essential for various applications such as robotics, engineering, graphics, and design. To better capture complex real dynamics…
Learning 3D Particle-based Simulators from RGB-D Videos
William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff +4
Realistic simulation is critical for applications ranging from robotics to animation. Traditional analytic simulators sometimes struggle to capture sufficiently realistic simulatio…
Physical Design using Differentiable Learned Simulators
Kelsey R. Allen, Tatiana Lopez-Guevara, Kimberly Stachenfeld +4
Designing physical artifacts that serve a purpose - such as tools and other functional structures - is central to engineering as well as everyday human behavior. Though automating…
Object-oriented state editing for HRL
Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams +4
We introduce agents that use object-oriented reasoning to consider alternate states of the world in order to more quickly find solutions to problems. Specifically, a hierarchical c…
Structured agents for physical construction
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch +4
Physical construction---the ability to compose objects, subject to physical dynamics, to serve some function---is fundamental to human intelligence. We introduce a suite of challen…