Novel interfaces for video generation through intuitive storyboarding using Sketch
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
About
This PhD project will investigate and develop novel approaches for neural rendering of dynamic scenes with an emphasis on high-fidelity This PhD explores novel interfaces for video generation through intuitive storyboarding approaches, enabling users to create high-quality video content from simple sketched keyframes. The research will develop multimodal control systems that allow creators to guide video generation through a combination of rough sketches, text descriptions, and gesture inputs, transforming traditional storyboarding workflows into interactive real-time video creation tools. This work aims to democratise video production by bridging the gap between simple visual ideation and sophisticated AI-driven video synthesis.
Prof. Yi Zhe Song (Lead Supervisor), second supervisor (TBC, Surrey), plus Expert Mentor at Royal Holloway (TBC).
This PhD is aligned with the CoSTAR research themes: AI Futures / Createch Futures / Inclusive 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
Applying Stage 1: Please contact the Lead Supervisor of the PhD opportunity Prof Yi-Zhe Song at y.song@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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Application deadline
Contact details
- Professor Yi-Zhe Song
- Email: y.song@surrey.ac.uk
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