Now showing items 1-4 of 4

    • Learning Camera Control in Dynamic Scenes from Limited Demonstrations 

      Hanocka, R.; Assa, J.; Cohen‐Or, D.; Giryes, R. (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2022)
      In this work, we present our strategy for camera control in dynamic scenes with multiple people (sports teams). We learn a generic model of the player dynamics offline in simulation. We use only a few sparse demonstrations ...
    • Narrow‐Band Screen‐Space Fluid Rendering 

      Oliveira, Felipe; Paiva, Afonso (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      This paper presents a novel and practical screen‐space liquid rendering for particle‐based fluids for real‐time applications. Our rendering pipeline performs particle filtering only in a narrow‐band around the boundary ...
    • Transition Motion Synthesis for Object Interaction based on Learning Transition Strategies 

      Hwang, Jaepyung; Park, Gangrae; Kwon, Taesoo; Ishii, Shin (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2022)
      In this study, we focus on developing a motion synthesis framework that generates a natural transition motion between two different behaviours to interact with a moving object. Specifically, the proposed framework generates ...
    • Wassersplines for Neural Vector Field-Controlled Animation 

      Zhang, Paul; Smirnov, Dmitriy; Solomon, Justin (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Much of computer-generated animation is created by manipulating meshes with rigs. While this approach works well for animating articulated objects like animals, it has limited flexibility for animating less structured ...