Single view human reconstruction in large, uncontrolled environments
At the Centre for Vision, Speech and Signal Processing (CVSSP), we’re developing exciting and ground-breaking technologies. These include facial recognition for security and medical imaging, and 3D spatial audio and 3D reconstruction from video for visual-effects production in films, games and virtual reality.
Start date
1 October 2025Duration
3 yearsApplication deadline
Funding source
UKRIFunding information
Awards cover UK tuition fees and provide a stipend at the UKRI rate for a period of 3 years. The stipend (Tax-free maintenance payment based on the UKRI minimum rate) is £20,780 from 1 October 2025
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About
This research aims to address the challenges of single view human reconstruction in large uncontrolled capture volumes, where factors such as occlusion, lighting variations, and low-resolution degrade performance.
The primary focus will be on developing robust learnt representations of humans leveraging the latest advances in AI and data generation techniques to accurately reconstruct human shape and appearance from monocular inputs.
Expected contributions include:
- Temporally stable single view human geometry reconstruction from unconstrained low-resolution video.
- A learnt model of human appearance from unconstrained low-resolution video.
- A unified model of human shape and appearance from unconstrained low-resolution video.
Ultimately this work aims to democratise human reconstruction technology by enabling its deployment in settings with minimal resources, dramatically lowering barriers to entry, and broadening its impact across industries and communities.
Dr. Marco Volino (Lead Supervisor), Professor Adrian Hilton (Second Supervisor), Dr. Armin Mustafa (Third Supervisor). Plus an Expert Mentor from Abertay University (TBC).
This PhD is aligned with the CoSTAR research themes: AI Futures / Createch Futures
Find out more about CoSTAR and the PhD opportunities.
Eligibility criteria
Open to candidates who pay UK/home rate fees. See UKCISA for further information.
How to apply
Stage 1: Please contact the Lead Supervisor of the PhD opportunity Dr Marco Volino at m.volino@surrey.ac.uk and work with the Lead Supervisor and supervisory team to send your CV and 500-word Expression of Interest by Friday March 14th, 2025.
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