Breaking Good: Fracture Modes for Realtime Destruction

@article{Sellan2021BreakingGF,
  title={Breaking Good: Fracture Modes for Realtime Destruction},
  author={Silvia Sell'an and Jack Luong and Leticia Mattos Da Silva and Aravind Ramakrishnan and Yuchuan Yang and Alec Jacobson},
  journal={ACM Transactions on Graphics (TOG)},
  year={2021}
}
Drawing a direct analogy with the well-studied vibration or elastic modes, we introduce an object’s fracture modes, which constitute its preferred or most natural ways of breaking. We formulate a sparsified eigenvalue problem, which we solve iteratively to obtain the n lowest-energy modes. These can be precomputed for a given shape to obtain a prefracture pattern that can substitute the state of the art for realtime applications at no runtime cost but significantly greater realism. Furthermore… 
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Breaking Bad: A Dataset for Geometric Fracture and Reassembly

This work introduces Breaking Bad, a large-scale dataset of fractured objects that serves as a benchmark that enables the study of fractured object reassembly and presents new challenges for geometric shape understanding.

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