Designing Virtual Humans for the Digital Future: A Geometric Deep Learning Perspective

Lead Research Organisation: Imperial College London
Department Name: Dept of Computing

Abstract

Virtual embodiment aims at creating digital environments in which subjects identify with their avatars. The current virtual reality applications suffer from the uncanny valley effect where the unrealistic body and motion reconstruction causes an unsettling feeling of interacting with fake agents. We propose designing virtual humans aesthetically indistinguishable from real people that act in a realistic way. While the problem seems to be Turing test-complete, we approach this from a visual perspective where the agent's representation is learned from images, videos, and 3D data. We show that incorporating methods from the emerging field of Geometric Deep Learning allows us to create realistic body models and reconstruct them from images.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R512540/1 01/10/2017 30/09/2021
2119379 Studentship EP/R512540/1 01/10/2018 30/09/2022 Dominik Kulon