Browsing SCA 2021: Eurographics/SIGGRAPH Symposium on Computer Animation by Subject "Computing methodologies"
Now showing items 1-13 of 13
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Coupling Friction with Visual Appearance
(ACM, 2021)We present a novel meso-scale model for computing anisotropic and asymmetric friction for contacts in rigid body simulations that is based on surface facet orientations. The main idea behind our approach is to compute a ... -
Diverse Motion Stylization for Multiple Style Domains via Spatial-Temporal Graph-Based Generative Model
(ACM, 2021)This paper presents a novel deep learning-based framework for translating a motion into various styles within multiple domains. Our framework is a single set of generative adversarial networks that learns stylistic features ... -
Efficient acoustic perception for virtual AI agents
(ACM, 2021)We model acoustic perception in AI agents efficiently within complex scenes with many sound events. The key idea is to employ perceptual parameters that capture how each sound event propagates through the scene to the ... -
Fast Corotated Elastic SPH Solids with Implicit Zero-Energy Mode Control
(ACM, 2021)We develop a new operator splitting formulation for the simulation of corotated linearly elastic solids with Smoothed Particle Hydrodynamics (SPH). Based on the technique of Kugelstadt et al. [2018] originally developed ... -
Flexible Motion Optimization with Modulated Assistive Forces
(ACM, 2021)Animated motions should be simple to direct while also being plausible. We present a flexible keyframe-based character animation system that generates plausible simulated motions for both physically-feasible and ... -
A functional skeleton transfer
(ACM, 2021)The animation community has spent significant effort trying to ease rigging procedures. This is necessitated because the increasing availability of 3D data makes manual rigging infeasible. However, object animations involve ... -
A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Control
(ACM, 2021)We present a simple and intuitive approach for interactive control of physically simulated characters. Our work builds upon generative adversarial networks (GAN) and reinforcement learning, and introduces an imitation ... -
Global Position Prediction for Interactive Motion Capture
(ACM, 2021)We present a method for reconstructing the global position of motion capture where position sensing is poor or unavailable. Capture systems, such as IMU suits, can provide excellent pose and orientation data of a capture ... -
Neural UpFlow: A Scene Flow Learning Approach to Increase the Apparent Resolution of Particle-Based Liquids
(ACM, 2021)We present a novel up-resing technique for generating high-resolution liquids based on scene flow estimation using deep neural networks. Our approach infers and synthesizes small- and large-scale details solely from a ... -
A Perceptually-Validated Metric for Crowd Trajectory Quality Evaluation
(ACM, 2021)Simulating crowds requires controlling a very large number of trajectories and is usually performed using crowd motion algorithms for which appropriate parameter values need to be found. The study of the relation between ... -
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 ... -
Visual Simulation of Soil-Structure Destruction with Seepage Flows
(ACM, 2021)This paper introduces a method for simulating soil-structure coupling with water, which involves a series of visual effects, including wet granular materials, seepage flows, capillary action between grains, and dam breaking ... -
Volume Preserving Simulation of Soft Tissue with Skin
(ACM, 2021)Simulation of human soft tissues in contact with their environment is essential in many fields, including visual effects and apparel design. Biological tissues are nearly incompressible. However, standard methods employ ...