ShapeStacks

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking

This paper provides ShapeStacks, a simulation-based dataset featuring 20,000 stack configurations composed of a variety of elementary geometric primitives richly annotated regarding semantics and structural stability, and trains visual classifiers for binary stability prediction on the data and scrutinise their learned physical intuition.