Physical representation learning and parameter identification from video using differentiable physics

DOI10.1007/s11263-021-01493-5zbMath1489.68326OpenAlexW3205069776MaRDI QIDQ2117001

Joerg Stueckler, Rama Krishna Kandukuri, Jan Achterhold, Michael Moeller

Publication date: 18 March 2022

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-021-01493-5

zbMATH Keywords

differentiable physicsphysical scene understandingvideo representation learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Uses Software

• Open Dynamics Engine
• CVXGEN
• OptNet

Cites Work

• CVXGEN: a code generator for embedded convex optimization
• Formulating dynamic multi-rigid-body contact problems with friction as solvable linear complementarity problems
• Rigid-Body Dynamics with Friction and Impact

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