Sebastian Starke
Most Recent Affiliation(s):
- University of Edinburgh, Electronic Arts (EA)
Experience(s):
Learning Category: Presentation(s):
![QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Tech-Papers-Lee_Environment-Aware-Simulated-Motion-Tracking-from-Sparse-Sensor-Input-150x150.jpg)
Type: [Technical Papers]
QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors Presenter(s): [Lee] [Starke] [Ye] [Won] [Winkler]
[SIGGRAPH 2023]
![DeepPhase: periodic autoencoders for learning motion phase manifolds](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Starke_-DeepPhase-Periodic-Autoencoders-for-Learning-Motion-Phase-Manifolds-150x150.jpg)
Type: [Technical Papers]
DeepPhase: periodic autoencoders for learning motion phase manifolds Presenter(s): [Starke] [Mason] [Komura]
[SIGGRAPH 2022]
![Neural animation layering for synthesizing martial arts movements](https://history.siggraph.org/wp-content/uploads/2023/06/2021-Technical-Papers-Starke_Neural-Animation-Layering-for-Synthesizing-Martial-Arts-Movements-150x150.jpg)
Type: [Technical Papers]
Neural animation layering for synthesizing martial arts movements Presenter(s): [Starke] [Zhao] [Zinno] [Komura]
[SIGGRAPH 2021]
Role(s):
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