@article{1367,
  abstract     = {One of the major challenges in physically based modelling is making simulations efficient. Adaptive models provide an essential solution to these efficiency goals. These models are able to self-adapt in space and time, attempting to provide the best possible compromise between accuracy and speed. This survey reviews the adaptive solutions proposed so far in computer graphics. Models are classified according to the strategy they use for adaptation, from time-stepping and freezing techniques to geometric adaptivity in the form of structured grids, meshes and particles. Applications range from fluids, through deformable bodies, to articulated solids.},
  author       = {Manteaux, Pierre and Wojtan, Christopher J and Narain, Rahul and Redon, Stéphane and Faure, François and Cani, Marie},
  issn         = {01677055},
  journal      = {Computer Graphics Forum},
  number       = {6},
  pages        = {312 -- 337},
  publisher    = {Wiley-Blackwell},
  title        = {{Adaptive physically based models in computer graphics}},
  doi          = {10.1111/cgf.12941},
  volume       = {36},
  year         = {2017},
}

@article{670,
  abstract     = {We propose an efficient method to model paper tearing in the context of interactive modeling. The method uses geometrical information to automatically detect potential starting points of tears. We further introduce a new hybrid geometrical and physical-based method to compute the trajectory of tears while procedurally synthesizing high resolution details of the tearing path using a texture based approach. The results obtained are compared with real paper and with previous studies on the expected geometric paths of paper that tears.},
  author       = {Schreck, Camille and Rohmer, Damien and Hahmann, Stefanie},
  issn         = {01677055},
  journal      = {Computer Graphics Forum},
  number       = {2},
  pages        = {95 -- 106},
  publisher    = {Wiley},
  title        = {{Interactive paper tearing}},
  doi          = {10.1111/cgf.13110},
  volume       = {36},
  year         = {2017},
}