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Long Range Constraints for Rigid Body Simulations
(ACM, 2017)
The two main constraints used in rigid body simulations are contacts and joints. Both constrain the motion of a small number of bodies in close proximity. However, it is often the case that a series of constraints restrict ...
Modeling and Data-Driven Parameter Estimation for Woven Fabrics
(ACM, 2017)
Accurate estimation of mechanical parameters for simulation of woven fabrics is essential in many fields. To facilitate this we first present a new orthotropic hyperelastic constitutive model for woven fabrics. Next, we ...
Emotion Control of Unstructured Dance Movements
(ACM, 2017)
Motion capture technology has enabled the acquisition of high quality human motions for animating digital characters with extremely high fidelity. However, despite all the advances in motion editing and synthesis, it remains ...
Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter?
(ACM, 2017)
The use of deep reinforcement learning allows for high-dimensional state descriptors, but little is known about how the choice of action representation impacts learning and the resulting performance. We compare the impact ...
Fully Asynchronous SPH Simulation
(ACM, 2017)
We present a novel method for fully asynchronous time integration of particle-based fluids using smoothed particle hydrodynamics (SPH). With our approach, we allow a dedicated time step for each particle. Therefore, we are ...
Hierarchical Vorticity Skeletons
(ACM, 2017)
We propose a novel method to extract hierarchies of vortex filaments from given three-dimensional flow velocity fields. We call these collections of filaments Hierarchical Vorticity Skeletons (HVS). They extract multi-scale ...
Physically-Based Droplet Interaction
(ACM, 2017)
In this paper we present a physically-based model for simulating realistic interactions between liquid droplets in an e cient manner. Our particle-based system recreates the coalescence, separation and fragmentation ...
Augmenting Sampling Based Controllers with Machine Learning
(ACM, 2017)
E cient learning of 3D character control still remains an open problem despite of the remarkable recent advances in the field. We propose a new algorithm that combines planning by a samplingbased model-predictive controller ...
Inequality Cloth
(ACM, 2017)
As has been noted and discussed by various authors, numerical simulations of deformable bodies often adversely suffer from so-called ''locking'' artifacts. We illustrate that the ''locking'' of out-of-plane bending motion ...
Authoring Motion Cycles
(ACM, 2017)
Motion cycles play an important role in animation production and game development. However, creating motion cycles relies on general-purpose animation packages with complex interfaces that require expert training. Our work ...