Now showing items 1-20 of 439

    • Online Motion Synthesis Framework using a Simple Mass Model based on Predictive Coding 

      Hwang, Jaepyung; Ishii, Shin; Oba, Shigeyuki (ACM, 2019)
      Hybrid-based character animation utilizing the motion capture data and a simplified physics model allows synthesizing the motion data without losing its naturalness of the original motion. However, using both the physical ...
    • Divergence-Free and Boundary-Respecting Velocity Interpolation Using Stream Functions 

      Chang, Jumyung; Azevedo, Vinicius C.; Batty, Christopher (ACM, 2019)
      In grid-based fluid simulation, discrete incompressibility of each cell is enforced by the pressure projection. However, pointwise velocities constructed by interpolating the discrete velocity samples from the staggered ...
    • Human Articular Movement Algorithm to Simulate Muscle Contraction and Embedded Tissue Deformation 

      Atsumi, Noritoshi; Kato, Daichi; Hirabayashi, Satoko; Nakahira, Yuko; Iwamoto, Masami (ACM, 2019)
      The visualization of human articular movements associated with internal deformation is critical for many fields including biome- chanics. In this work, we present a novel algorithm to describe realistic articular movement ...
    • Subspace Neural Physics: Fast Data-Driven Interactive Simulation 

      Holden, Daniel; Duong, Bang Chi; Datta, Sayantan; Nowrouzezahrai, Derek (ACM, 2019)
      Data-driven methods for physical simulation are an attractive option for interactive applications due to their ability to trade precomputation and memory footprint in exchange for improved runtime performance. Yet, existing ...
    • EigenFit for Consistent Elastodynamic Simulation Across Mesh Resolution 

      Chen, Yu Ju (Edwin); Levin, David I. W.; Kaufmann, Danny; Ascher, Uri; Pai, Dinesh K. (ACM, 2019)
      Elastodynamic system simulation is a key procedure in computer graphics and robotics applications. To enable these simulations, the governing differential system is discretized in space (employing FEM) and then in time. ...
    • Small Steps in Physics Simulation 

      Macklin, Miles; Storey, Kier; Lu, Michelle; Terdiman, Pierre; Chentanez, Nuttapong; Jeschke, Stefan; Müller, Matthias (ACM, 2019)
      In this paper we re-examine the idea that implicit integrators with large time steps offer the best stability/performance trade-off for stiff systems. We make the surprising observation that performing a single large time ...
    • Modeling and Data-Driven Parameter Estimation for Woven Fabrics 

      Clyde, David; Teran, Joseph; Tamstorf, Rasmus (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 ...
    • Inequality Cloth 

      Jin, Ning; Lu, Wenlong; Geng, Zhenglin; Fedkiw, Ronald P. (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 ...
    • Designing Cable-Driven Actuation Networks for Kinematic Chains and Trees 

      Megaro, Vittorio; Knoop, Espen; Spielberg, Andrew; Levin, David I.W.; Matusik, Wojciech; Gross, Markus; Thomaszewski, Bernhard; Bächer, Moritz (ACM, 2017)
      In this paper we present an optimization-based approach for the design of cable-driven kinematic chains and trees. Our system takes as input a hierarchical assembly consisting of rigid links jointed together with hinges. ...
    • Long Range Constraints for Rigid Body Simulations 

      Müller, Matthias; Chentanez, Nuttapong; Macklin, Miles; Jeschke, Stefan (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 ...
    • Rigid Body Contact Problems using Proximal Operators 

      Erleben, Kenny (ACM, 2017)
      Iterative methods are popular for solving contact force problems in rigid body dynamics. They are loved for their robustness and surrounded by mystery as to whether they converge or not. We provide a mathematical foundation ...
    • Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter? 

      Peng, Xue Bin; Panne, Michiel van de (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 ...
    • Augmenting Sampling Based Controllers with Machine Learning 

      Rajamäki, Joose; Hämäläinen, Perttu (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 ...
    • Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks 

      Laine, Samuli; Karras, Tero; Aila, Timo; Herva, Antti; Saito, Shunsuke; Yu, Ronald; Li, Hao; Lehtinen, Jaakko (ACM, 2017)
      We present a real-time deep learning framework for video-based facial performance capture-the dense 3D tracking of an actor's face given a monocular video. Our pipeline begins with accurately capturing a subject using a ...
    • Emotion Control of Unstructured Dance Movements 

      Aristidou, Andreas; Zeng, Qiong; Stavrakis, Efstathios; Yin, KangKang; Cohen-Or, Daniel; Chrysanthou, Yiorgos; Chen, Baoquan (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 ...
    • Authoring Motion Cycles 

      Ciccone, Loïc; Guay, Martin; Nitti, Maurizio; Sumner, Robert W. (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 ...
    • A Positive-Definite Cut-Cell Method for Strong Two-Way Coupling Between Fluids and Deformable Bodies 

      Zarifi, Omar; Batty, Christopher (ACM, 2017)
      We present a new approach to simulation of two-way coupling between inviscid free surface fluids and deformable bodies that exhibits several notable advantages over previous techniques. By fully incorporating the dynamics ...
    • Hierarchical Vorticity Skeletons 

      Eberhardt, Sebastian; Weissmann, Steffen; Pinkall, Ulrich; Thuerey, Nils (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 

      Jones, Richard; Southern, Richard (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 ...
    • A Micropolar Material Model for Turbulent SPH Fluids 

      Bender, Jan; Koschier, Dan; Kugelstadt, Tassilo; Weiler, Marcel (ACM, 2017)
      In this paper we introduce a novel micropolar material model for the simulation of turbulent inviscid fluids. The governing equations are solved by using the concept of Smoothed Particle Hydrodynamics (SPH). As already ...