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Few-shot Learning of Homogeneous Human Locomotion Styles
(The Eurographics Association and John Wiley & Sons Ltd., 2018)
Using neural networks for learning motion controllers from motion capture data is becoming popular due to the natural and smooth motions they can produce, the wide range of movements they can learn and their compactness ...
Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows
(The Eurographics Association and John Wiley & Sons Ltd., 2020)
Automatic synthesis of realistic gestures promises to transform the fields of animation, avatars and communicative agents. In off-line applications, novel tools can alter the role of an animator to that of a director, who ...
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 ...
MultiResGNet: Approximating Nonlinear Deformation via Multi-Resolution Graphs
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
This paper presents a graph-learning-based, powerfully generalized method for automatically generating nonlinear deformation for characters with an arbitrary number of vertices. Large-scale character datasets with a ...
Voice2Face: Audio-driven Facial and Tongue Rig Animations with cVAEs
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
We present Voice2Face: a Deep Learning model that generates face and tongue animations directly from recorded speech. Our approach consists of two steps: a conditional Variational Autoencoder generates mesh animations from ...
Monocular Facial Performance Capture Via Deep Expression Matching
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
Facial performance capture is the process of automatically animating a digital face according to a captured performance of an actor. Recent developments in this area have focused on high-quality results using expensive ...