SIGGRAPH 2010 papers

Kesen’s page of 2010 SIGGRAPH papers is up. Here’s the list of SIGGRAPH 2010 physics-based animation papers to appear so far: Subspace Self-Collision Culling Star-Contours for Efficient Hierarchical Self-Collision Detection Efficient Yarn-based Cloth with Adaptive Contact Linearization Physics-Inspired Topology Changes for Thin Fluid Features A Multiscale Approach to Mesh-based Surface Tension Flows A Practical Simulation […]

SCA 2010 papers

The full list of accepted papers for SCA 2010 has been posted, and Ke-Sen’s collection is here.  Here’s the physics ones: Linear-Time Dynamics for Multibody Systems with General Joint Models Constraint-Based Simulation of Adhesive Contact Point Cloud Glue: Constraining simulations using the Procrustes transform Interactive SPH Simulation and Rendering on the GPU Real-Time Simulation of […]

Efficient Yarn-Based Cloth Simulation With Adaptive Contact Linearization

Yarn-based cloth simulation can improve visual quality but at high computational costs due to the reliance on numerous persistent yarn-yarn contacts to generate material behavior. Finding so many contacts in densely interlinked geometry is a pathological case for traditional collision detection, and the sheer number of contact interactions makes contact processing the simulation bottleneck. In […]

A Novel Algorithm for Incompressible Flow Using Only A Coarse Grid Projection

Large scale fluid simulation can be difficult using existing techniques due to the high computational cost of using large grids. We present a novel technique for simulating detailed fluids quickly. Our technique coarsens the Eulerian fluid grid during the pressure solve, allowing for a fast implicit update but still maintaining the resolution obtained with a […]

A Simple Geometric Model for Elastic Deformations

We advocate a simple geometric model for elasticity: distance between the differential of a deformation and the rotation group. It comes with rigorous differential geometric underpinnings, both smooth and discrete, and is computationally almost as simple and efficient as linear elasticity. Owing to its geometric non-linearity, though, it does not suffer from the usual linearization artifacts. […]