Browsing by Author "Han, JungHyun"

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Motion Retargetting based on Dilated Convolutions and Skeleton-specific Loss Functions
    (The Eurographics Association and John Wiley & Sons Ltd., 2020) Kim, SangBin; Park, Inbum; Kwon, Seongsu; Han, JungHyun; Panozzo, Daniele and Assarsson, Ulf
    Motion retargetting refers to the process of adapting the motion of a source character to a target. This paper presents a motion retargetting model based on temporal dilated convolutions. In an unsupervised manner, the model generates realistic motions for various humanoid characters. The retargetted motions not only preserve the high-frequency detail of the input motions but also produce natural and stable trajectories despite the skeleton size differences between the source and target. Extensive experiments are made using a 3D character motion dataset and a motion capture dataset. Both qualitative and quantitative comparisons against prior methods demonstrate the effectiveness and robustness of our method.
  • Thumbnail Image
    Item
    An Optimization-based SPH Solver for Simulation of Hyperelastic Solids
    (The Eurographics Association and John Wiley & Sons Ltd., 2023) Kee, Min Hyung; Um, Kiwon; Kang, HyunMo; Han, JungHyun; Myszkowski, Karol; Niessner, Matthias
    This paper proposes a novel method for simulating hyperelastic solids with Smoothed Particle Hydrodynamics (SPH). The proposed method extends the coverage of the state-of-the-art elastic SPH solid method to include different types of hyperelastic materials, such as the Neo-Hookean and the St. Venant-Kirchoff models. To this end, we reformulate an implicit integration scheme for SPH elastic solids into an optimization problem and solve the problem using a general-purpose quasi-Newton method. Our experiments show that the Limited-memory BFGS (L-BFGS) algorithm can be employed to efficiently solve our optimization problem in the SPH framework and demonstrate its stable and efficient simulations for complex materials in the SPH framework. Thanks to the nature of our unified representation for both solids and fluids, the SPH formulation simplifies coupling between different materials and handling collisions.
  • Thumbnail Image
    Item
    Simulation of Arbitrarily-shaped Magnetic Objects
    (The Eurographics Association and John Wiley & Sons Ltd., 2020) Kim, Seung-wook; Han, JungHyun; Eisemann, Elmar and Jacobson, Alec and Zhang, Fang-Lue
    Abstract We propose a novel method for simulating rigid magnets in a stable way. It is based on analytic solutions of the magnetic vector potential and flux density, which make the magnetic forces and torques calculated using them seldom diverge. Therefore, our magnet simulations remain stable even though magnets are in close proximity or penetrate each other. Thanks to the stability, our method can simulate magnets of any shapes. Another strength of our method is that the time complexities for computing the magnetic forces and torques are significantly reduced, compared to the previous methods. Our method is easily integrated with classic rigid-body simulators. The experiment results presented in this paper prove the stability and efficiency of our method.