Intelligent Content Creation Tools for Augmented and Virtual Reality

The GTC is developing tools for creating intelligent characters that inhabit augmented reality worlds. The final goal is to have autonomous virtual characters that can navigate and interact with the real environment, as well as with the user.

Project Status

Ongoing

GTC Team

Manuel Braunschweiler, Yukun Dai, Fraser Rothnie, Dr. Fabio Zünd, Prof. Robert W. Sumner

Collaborators

Ayça Takmaz (ETH MTC), Dr. Steven Poulakos (Disney Research Studios), Violaine Fayolle (Disney Research Studios), Prof. Soo-Mi Choi (Sejong University), Kyoung-Je Park (Perfect Storm Co., Ltd.)
 

This project tackles several problems in the realm of scene understanding, story technology, artificial intelligence, character animation and authoring UIs. To interact with the user, natural language processing is used, for which we are in close collaboration with another lab at ETH. As a first prototype, we created a virtual museum guide, which can lead the user through a small art exhibition, interact with the paintings and explain various facts about the exhibits to the user. For future prototypes, we want to target scenarios that are tailored towards peoples’ homes, such as characters for kids entertainment or a daily companion / assistant.

The project is a collaboration betweend the GTC, the Media Technology Center, DisneyResearch|Studios and the Sejong University, in Seoul.

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2023 Game Technology Center
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2023 Game Technology Center

Student Projects

Content Creation Tools for Autonomous AR Characters

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by Léon Othenin-Girard

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Scene-Aware AR Assistant

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by Fabian Blatter

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Scene-Aware Autonomous Behavior for AR Characters

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by William Jones

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Personalized Scene-Aware Chatbots in AR

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by Oliver Schwarzenbach

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Emergent Stories in AR Environments

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by Lucas Habersaat

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Bringing Everyday Objects to Life Using AR

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by Nereo Lauber

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Story Editing for AR Experiences

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by Darius Doongaji

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Virtual Mapping of Real-Objects for AR Experiences

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by Luca Vögeli

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Real-World Navigation for Intelligent AR Characters

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by Daniel Sparber

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Position Optimization for Intelligent AR Characters

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by Chen Yang

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Intelligent Characters for Next-Gen AR in Museums

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by Thomas Lang

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