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Motion Data and Model Management for Applied Statistical Motion Synthesis
(The Eurographics Association, 2019)
Machine learning based motion modelling methods such as statistical modelling require a large amount of input data. In practice, the management of the data can become a problem in itself for artists who want to control the ...
Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data
(The Eurographics Association, 2018)
Semantic segmentation of motion capture sequences plays a key part in many data-driven motion synthesis frameworks. It is a preprocessing step in which long recordings of motion capture sequences are partitioned into smaller ...
Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks
(The Eurographics Association, 2019)
Human motion capture data has been widely used in data-driven character animation. In order to generate realistic, naturallooking motions, most data-driven approaches require considerable efforts of pre-processing, including ...
Stylistic Locomotion Modeling with Conditional Variational Autoencoder
(The Eurographics Association, 2019)
We propose a novel approach to create generative models for distinctive stylistic locomotion synthesis. The approach is inspired by the observation that human styles can be easily distinguished from a few examples. However, ...