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Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
We present a learning-based approach for virtual try-on applications based on a fully convolutional graph neural network. In contrast to existing data-driven models, which are trained for a specific garment or mesh topology, ...
Distant Collision Response in Rigid Body Simulations
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
We use a finite element model to predict the vibration response of objects in a rigid body simulation, such that rigid objects are augmented to provide a plausible elastic collision response between distant objects due to ...
A Pixel-Based Framework for Data-Driven Clothing
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
We propose a novel approach to learning cloth deformation as a function of body pose, recasting the graph-like triangle mesh data structure into image-based data in order to leverage popular and well-developed convolutional ...
Linear Time Stable PD Controllers for Physics-based Character Animation
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
In physics-based character animation, Proportional-Derivative (PD) controllers are commonly used for tracking reference motions in motor control tasks. Stable PD (SPD) controllers significantly improve the numerical stability ...
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
We present a probabilistic framework to generate character animations based on weak control signals, such that the synthesized motions are realistic while retaining the stochastic nature of human movement. The proposed ...