Computer Graphics - Material Appearance Modeling and Physically Based Rendering
Primary supervisor
Additional supervisors
- Zahra Montazeri
Additional information
- My old webpage
- Practical Cloth Rendering
- Related paper for: Neural Appearance Rendering
- Related paper for: Pre-filtering for Rendering
Contact admissions office
Funding
- Competition Funded Project (Students Worldwide)
This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. Applications for this project are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full department and project details for further information.
Project description
In recent years, in the presence of the pandemic and everyone working remotely, the advance in Computer Graphics becomes essential more than ever. Photo-realistic modelling and rendering of objects are the key components to the realism of the virtual scene and have applications in Virtual Reality, medical imaging, online retail and the entertainment industry such as games and movies. We focus on how light interacts with complex materials (e.g. cloth, hair, fur and human skin) and generate physics-based and realistic imaging using state-of-the-art rendering techniques to offer fidelity as well as the practicality for rendering interactively or in real-time.
This project has a particular interest in efficient rendering using novel techniques such as Level of Details as well as Neural Rendering which is a new approach with the aid of machine learning to accelerate the computations of the rendering pipeline. The research aims to develop new algorithms and theories in the field of appearance modelling and rendering and the specific direction can be discussed based on the applicant's interest and strengths.
Informal enquiries regarding this topic and future projects can be directed to zahra.montazeri@manchester.ac.uk
Person specification
For information
- Candidates must hold a minimum of an upper Second Class UK Honours degree or international equivalent in a relevant science or engineering discipline.
- Candidates must meet the School's minimum English Language requirement.
- Candidates will be expected to comply with the University's policies and practices of equality, diversity and inclusion.
Essential
Applicants will be required to evidence the following skills and qualifications.
- You must be capable of performing at a very high level.
- You must have a self-driven interest in uncovering and solving unknown problems and be able to work hard and creatively without constant supervision.
Desirable
Applicants will be required to evidence the following skills and qualifications.
- You will have good time management.
- You will possess determination (which is often more important than qualifications) although you'll need a good amount of both.
General
Applicants will be required to address the following.
- Comment on your transcript/predicted degree marks, outlining both strong and weak points.
- Discuss your final year Undergraduate project work - and if appropriate your MSc project work.
- How well does your previous study prepare you for undertaking Postgraduate Research?
- Why do you believe you are suitable for doing Postgraduate Research?