- Rafał Mantiuk
- Professor of 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
- Room
- SS22
- Phone
- office: +44 1223 763831
- rafal [dot] mantiuk [at] cl [dot] cam [dot] ac [dot] uk
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If you are contacting me about internship, PhD studentship, or a PostDoc position, please check the "Jobs" section first.
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.
Biography
- Professor/Reader of 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)
Recent projects
A model of spatio-temporal-chromatic contrast sensitivity that accounts for (c)hromaticity, (a)rea, (s)patial and (t)emporal frequency, (l)uminance and (e)ccentricity.
We reproduce gloss on our ultra-realistic HDR 3D display so that it appears identical to the gloss of real objects seen side by side. Our observation is that the dynamic range, absolute luminance and tone-curve are the factors that influence gloss perception the most.
Spatiotemporal denoising for path tracing relies on a trained multi-scale decomposition (pyramid), which can better preserve details and avoid artifacts of previous methods.
See more projects.
Recent papers
- castleCSF — A Contrast Sensitivity Function of Color, Area, Spatio-Temporal frequency, Luminance and Eccentricity
Maliha Ashraf, Rafał K. Mantiuk, Alexandre Chapiro and Sophie Wuerger.
In: Journal of Vision, 24, article no. 5, 2024
(doi) (project page) (dataset) (PDF) (code) - Impact of focus cue presentation on perceived realism of 3-D scene structure: implications for scene perception and for display technology
Joseph March, Anantha Krishnan, Rafał K. Mantiuk and Simon J. Watt.
In: Journal of Vision, 24, article no. 13, 2024
(doi) (project page) - Perceptual Assessment and Optimization of HDR Image Rendering
Peibei Cao, Rafał K. Mantiuk, Kede Ma.
In: Proc. Computer Vision and Pattern Recognition (CVPR), 2024 - Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front-Facing Views
Hanxue Liang, Tianhao Wu, Param Hanji, Francesco Banterle, Hongyun Gao, Rafał K. Mantiuk, Cengiz Oztireli.
In: Computer Graphics Forum (Proc. of Eurographics), 2024
(project page) (PDF) - The effect of viewing distance and display peak luminance - HDR AV1 video streaming quality dataset
Dounia Hammou, Lukas Krasula, Christos G. Bampis, Zhi Li and Rafał K. Mantiuk.
In: International Conference on Quality of Multimedia Experience (QoMEX 2024), 2024
(project page)
See all papers.
Awards and grants
- HDR-VDP-2 paper received the Test-of-Time Award from SIGGRAPH (2023) for "a significant and lasting impact on computer graphics and interactive techniques over at least a decade"
- HDR-VDP-3 won the 1st place in the HDR Video Quality Measurement Grand Challenge (2023) in the full-reference category
- Color Imaging Conference 2022 (CIC30) Best Paper Award for the paper Suprathreshold contrast matching between different luminance levels
- London Imaging Meeting 2022 Best Paper Award for the paper A Comparative Study on the Loss Functions for Image Enhancement Networks
- ACM SIGGRAPH European Conference on Visual Media Production (CVMP 2022) Best Paper Award for the paper Distilling Style from Image Pairs for Global Forward and Inverse Tone Mapping
- Color Imaging Conference (CIC28) Best Paper Award for the paper Practical color contrast sensitivity functions for luminance levels up to 10000 cd/m2
- Electronic Imaging / Human Vision and Electronic Imaging 2020 Best Paper Award for the paper Predicting visible flicker in temporally changing images
- The IEEE Virtual Reality 2019 Best Journal Paper - for the paper Temporal Resolution Multiplexing: Exploiting the limitations of spatio-temporal vision for more efficient VR rendering
- Electronic Imaging / Human Vision and Electronic Imaging 2019 Best Paper Award for the paper A visual model for predicting chromatic banding artifacts
- ERC Consolidator Grant (2017) - EyeCode: Perceptual encoding of high fidelity light fields
- MSCA Innovative Training Network (2018) - RealVision: Hyper-realistic Visual Experience
- EPSRC research grant (2017) - A spatio-chromatic colour appearance model for retargeting high-dynamic-range image appearance across viewing conditions
- HPC Wales Research and Innovation grant (2013/14) - Video retargeting for delivery to mobile and future display technologies
- Royal Society Research Grant (2013) - Limiting factors of perceptual image fidelity
- EPSRC grant EP/I006575/1 (2011) - Quantifying image quality in computer graphics
- Heinz Billing Award 2006
My contribution to the organization of research networks and conferences can be found here.