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Now showing items 11-18 of 18
Energy Stability and Fracture for Frame Rate Rigid Body Simulations
(ACM SIGGRAPH / Eurographics Association, 2009)
Our goal is to design robust algorithms that can be used for building real-time systems, but rather than starting with overly simplistic particle-based methods, we aim to modify higher-end visual effects algorithms. A major ...
Fully Automatic Generation of Anatomical Face Simulation Models
(ACM Siggraph, 2015)
We present a fast, fully automatic morphing algorithm for creating simulatable flesh and muscle models for human and humanoid faces. Current techniques for creating such models require a significant amount of time and ...
Practical Animation of Compressible Flow for ShockWaves and Related Phenomena
(The Eurographics Association, 2010)
We propose a practical approach to integrating shock wave dynamics into traditional smoke simulations. Previous methods either simplify away the compressible component of the flow and are unable to capture shock fronts or ...
A Robust Volume Conserving Method for Character-Water Interaction
(ACM, 2019)
We propose a novel volume conserving framework for character- water interaction, using a novel volume-of-fluid solver on a skinned tetrahedral mesh, enabling the high degree of the spatial adaptiv- ity in order to capture ...
Two-way Coupling of Rigid and Deformable Bodies
(The Eurographics Association, 2008)
We propose a framework for the full two-way coupling of rigid and deformable bodies, which is achieved with both a unified time integration scheme as well as individual two-way coupled algorithms at each point of that ...
A new sharp-crease bending element for folding and wrinkling surfaces and volumes
(ACM Siggraph, 2015)
We present a novel sharp-crease bending element for the folding and wrinkling of surfaces and volumes. Based on a control curve specified by an artist or derived from internal stresses of a simulation, we create a piecewise ...
Recovering Geometric Information with Learned Texture Perturbations
(ACM, 2021)
Regularization is used to avoid overfitting when training a neural network; unfortunately, this reduces the attainable level of detail hindering the ability to capture high-frequency information present in the training ...
Three Dimensional Reconstruction of Botanical Trees with Simulatable Geometry
(ACM, 2021)
We tackle the challenging problem of creating full and accurate three dimensional reconstructions of botanical trees with the topological and geometric accuracy required for subsequent physical simulation, e.g. in response ...