School of Computer Science and Statistics
Imagine visiting a virtual museum as a family after closing time, where the exhibits have mysteriously come to life and an AI-driven virtual museum guide needs your group’s help to discover what has happened. This project will develop a short multiplayer VR experience for 3–4 players, in which a MetaHuman guide dynamically responds to the … Read more
Mobility is the lifeblood of human connectedness and economic progress, and roads are a critical component of the transportation system for both people and goods. Unfortunately, roads are potentially vulnerable to medium- to long-term disruptions (ie, lasting hours to days) due to extreme weather, infrastructure failures, accidents, maintenance, and unexpected demand all resulting in high … Read more
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
Creating Virtual Reality experiences normally requires specialist software and significant programming experience. This project will investigate how web-based 3D and generative AI tools can make VR creation accessible to children, allowing them to create a 3D world in a browser and then immediately experience it inside a VR headset. The student will develop a child-friendly … Read more
People perform the same actions in subtly different ways, creating an individual motion signature. This project will investigate whether these characteristics are preserved—or lost—when human motion is learned by a generative animation model. Using Epic Games’ new AnimGen framework and the HiPHI motion-capture dataset, the student will select a small number of performers performing similar … Read more
Recent generative animation models can create realistic character motion rather than simply replaying existing animation clips. In this project, you will use Epic Games’ new AnimGen framework and motion-capture data from the large-scale HiPHI dataset to investigate human-object interaction. The student will select a manageable subset of interactions, such as approaching, reaching for, picking up … Read more
This project focuses on how to deploy Natural Language Processing and Generative AI approaches to support historians to annotate transcriptions with links to entities in an existing knowledge graph. Typically this means employing techniques to undertake Named Entity Recognition and Entity Linking tasks and providing candidate annotations to the historians through a simple user interface … Read more
Many knowledge graphs are not constructed from scratch, but rather are based on the ongoing uplift of data from existing data sources hosted in a variety of diverse data representations (relational data, JSON, CSV, XML etc.). The community has developed specifications that allow engineers who construct and maintain knowledge graphs to flexibly specify what data … Read more
Are you interested in researching generative AI techniques for visual content creation?
In this project, we will explore generative AI with a focus on image, video, and 3D content creation and editing. You will build up your background in computer graphics and computer vision and conduct research in the following themes including latent diffusion models and neural radiance fields.