Rafał Mantiuk *
Rafał Mantiuk
Reader in Graphics and Displays
Department of Computer Science and Technology
The Computer Laboratory
Rainbow Research Group
University of Cambridge

Office address
University of Cambridge
Computer Laboratory
William Gates Building
15 JJ Thomson Avenue
Cambridge CB3 0FD
United Kingdom
office: +44 1223 763831
rafal [dot] mantiuk [at] cl [dot] cam [dot] ac [dot] uk

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Reserach interest

Applied visual perception; high dynamic range imaging; display algorithms; machine learning for image synthesis; tone-mapping; video coding for new display technologies; image and video quality metrics; visibility metrics; virtual reality and low-level perception; computational photography; computational displays; novel display technologies; colour; perception in computer graphics; novel image and video representations (beyond 2D); psychophysics; modeling visual perception with machine learning.


Reader in Graphics and Displays, University of Cambridge, Computer Laboratory, UK (from 2018)
Senior Lecturer, University of Cambridge, Computer Laboratory, UK (2015-2018)
Lecturer / Senior Lecturer, Bangor University, School of Computer Science, UK (2009-2015)
Postdoc Fellow, University of British Columbia, Canada (2008-2009)
Postdoc, Max-Planck-Institut for Computer Science, Germany (2007-2008)
Internship, Sharp Laboratories of America, Camas WA, USA (2006)
PhD (summa cum laude, Computer Science), Max-Planck-Institut for Computer Science, Germany (2006)
Msc (Computer Science), Technical University of Szczecin, Poland (2003)
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Recent projects

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Perceptual Model for Adaptive Local Shading and Refresh Rate

Variable Shading Rate (VRS) and refresh rate are optimized using a perceptual motion-quality model to maximize rendering quality for a given rendering budget.

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Reproducing Reality with a High-Dynamic-Range Multi-Focal Stereo Display

A novel high-dynamic-range multi-focal stereo display reproduces 3D objects with high fidelity so that they are confused with real 3D objects.

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FovVideoVDP - An image/video quality metric for regular and foveated viewing

FovVideoVDP is an image and video quality metric that is in particular indended for testing the performance of foveated rendering methods. The metric accounts for many aspects of low-level vision, such as luminance, contrast masking, spatio-temporal contrast sensitivity and reduced sensitivity outside the foveal region.

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Recent papers

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Awards and grants

My contribution to the organization of research networks and conferences can be found here.