Subject: crowds

[TAKEN] AI Crowd Motion: Generating Diverse Animation from Crowd Trajectories

Rachel McDonnell (email | all projects)

Virtual crowds typically rely on a limited set of motion-capture clips, which can lead to visible repetition and reduce the perceived diversity and realism of the crowd. This project will investigate whether Epic Games’ new AnimGen generative animation framework can be used to create more varied and individualised motion for virtual crowds. The student will … Read more

Subject Areas

3D graphics AI AI: Artificial Intelligence Artificial Intelligence augmented and virtual reality brain climate change Computer Animation computer graphics Computer Vision Data Analytics Data Science Dialogue Education EEG fairness Fintech Generative AI graphics Human Computer Interaction Information-Centric Networking Intelligent Transportation Systems Internet Architecture Knowledge and Data Engineering Knowledge Graphs Linked Data Machine Learning Motion Capture Natural Language Processing networking neural networks perception Quantum Computing Reinforcement Learning Security/Privacy Software Engineering software testing Statistics Statistics and Data Science Statistics and Sustainability Sustainability User Interaction User Interface virtual humans virtual reality

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