Abstract: A removal model is trained to predict secondary dynamics associated with an individual enacting a performance. For a given sequence of frames that includes an individual enacting a performance and secondary dynamics, a retargeting application identifies a set of rigid points that correspond to skeletal regions of the individual and a set of non-rigid points that correspond to non-skeletal region of the individual. For each frame in the sequence of frames, the application applies the removal model that takes as inputs a velocity history of a non-rigid point and a velocity history of the rigid points in a temporal window around the frame, and outputs a delta vector for the non-rigid point indicating a displacement for reducing secondary dynamics in the frame. In addition, a trained synthesis model can be applied to determine a delta vector for every non-rigid point indicating displacements for adding new secondary dynamics.

Abstract: A novel algorithmic framework is presented for the simulation of hyperelastic soft tissues that drastically improves each aspect discussed above compared to existing techniques. The approach is robust to large deformation (even inverted configurations) and extremely stable by virtue of careful treatment of linearization. Additionally, a new multigrid approach is presented to efficiently support hundreds of thousands of degrees of freedom (rather than the few thousands typical of existing techniques) in a production environment. Furthermore, these performance and robustness improvements are guaranteed in the presence of both collision and quasistatic/implicit time stepping techniques. The result is a significant advance in the applicability of hyperelastic simulation to skeleton driven character skinning.

Abstract: A computer graphic system and methods for simulating hair is provided. In accordance with aspects of the disclosure a method for hybrid hair simulation using a computer graphics system is provided. The method includes generating a plurality of modeled hair strands using a processor of the computer graphics system. Each hair strand includes a plurality of particles and a plurality of spring members coupled in between the plurality of particles. The method also includes determining a first position and a first velocity for each particle in the plurality of modeled hair strands using the processor and coarsely modeling movement of the plurality of modeled hair strands with a continuum fluid solver. Self-collisions of the plurality of modeled hair strands are computed with a discrete collision model using the processor.

Abstract: A novel algorithmic framework is presented for the simulation of hyperelastic soft tissues that drastically improves each aspect discussed above compared to existing techniques. The approach is robust to large deformation (even inverted configurations) and extremely stable by virtue of careful treatment of linearization. Additionally, a new multigrid approach is presented to efficiently support hundreds of thousands of degrees of freedom (rather than the few thousands typical of existing techniques) in a production environment. Furthermore, these performance and robustness improvements are guaranteed in the presence of both collision and quasistatic/implicit time stepping techniques. The result is a significant advance in the applicability of hyperelastic simulation to skeleton driven character skinning.

Abstract: A computer graphic system and methods for simulating hair is provided. In accordance with aspects of the disclosure a method for hybrid hair simulation using a computer graphics system is provided. The method includes generating a plurality of modeled hair strands using a processor of the computer graphics system. Each hair strand includes a plurality of particles and a plurality of spring members coupled in between the plurality of particles. The method also includes determining a first position and a first velocity for each particle in the plurality of modeled hair strands using the processor and coarsely modeling movement of the plurality of modeled hair strands with a continuum fluid solver. Self-collisions of the plurality of modeled hair strands are computed with a discrete collision model using the processor.