article

Perception-driven Accelerated Rendering

Authors:

P. SlusallekAuthors Info & Claims

Computer Graphics Forum, Volume 36, Issue 2

Pages 611 - 643

https://doi.org/10.1111/cgf.13150

Published: 01 May 2017 Publication History

Abstract

Advances in computer graphics enable us to create digital images of astonishing complexity and realism. However, processing resources are still a limiting factor. Hence, many costly but desirable aspects of realism are often not accounted for, including global illumination, accurate depth of field and motion blur, spectral effects, etc. especially in real-time rendering. At the same time, there is a strong trend towards more pixels per display due to larger displays, higher pixel densities or larger fields of view. Further observable trends in current display technology include more bits per pixel high dynamic range, wider color gamut/fidelity, increasing refresh rates better motion depiction, and an increasing number of displayed views per pixel stereo, multi-view, all the way to holographic or lightfield displays. These developments cause significant unsolved technical challenges due to aspects such as limited compute power and bandwidth. Fortunately, the human visual system has certain limitations, which mean that providing the highest possible visual quality is not always necessary. In this report, we present the key research and models that exploit the limitations of perception to tackle visual quality and workload alike. Moreover, we present the open problems and promising future research targeting the question of how we can minimize the effort to compute and display only the necessary pixels while still offering a user full visual experience.

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Surace LWernikowski MTursun CMyszkowski KMantiuk RDidyk P(2023)Learning GAN-Based Foveated Reconstruction to Recover Perceptually Important Image FeaturesACM Transactions on Applied Perception10.1145/358307220:2(1-23)Online publication date: 21-Apr-2023
https://dl.acm.org/doi/10.1145/3583072
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Published In

cover image Computer Graphics Forum

Computer Graphics Forum Volume 36, Issue 2

May 2017

623 pages

ISSN:0167-7055

EISSN:1467-8659

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Publisher

The Eurographs Association & John Wiley & Sons, Ltd.

Chichester, United Kingdom

Publication History

Published: 01 May 2017

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Zhang RChen CShen ZPeng JMa M(2024)Rendering acceleration based on JND-guided sampling predictionMultimedia Systems10.1007/s00530-023-01238-z30:1Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1007/s00530-023-01238-z
Petrescu DWarren PMontazeri ZOtkhmezuri BPettifer S(2023)Foveated Walking: Translational Ego-Movement and Foveated RenderingACM Symposium on Applied Perception 202310.1145/3605495.3605798(1-8)Online publication date: 5-Aug-2023
https://dl.acm.org/doi/10.1145/3605495.3605798
Surace LWernikowski MTursun CMyszkowski KMantiuk RDidyk P(2023)Learning GAN-Based Foveated Reconstruction to Recover Perceptually Important Image FeaturesACM Transactions on Applied Perception10.1145/358307220:2(1-23)Online publication date: 21-Apr-2023
https://dl.acm.org/doi/10.1145/3583072
Adhanom IMacNeilage PFolmer E(2023)Eye Tracking in Virtual Reality: a Broad Review of Applications and ChallengesVirtual Reality10.1007/s10055-022-00738-z27:2(1481-1505)Online publication date: 18-Jan-2023
https://dl.acm.org/doi/10.1007/s10055-022-00738-z
Tursun CDidyk P(2022)Perceptual Visibility Model for Temporal Contrast Changes in PeripheryACM Transactions on Graphics10.1145/356424142:2(1-16)Online publication date: 22-Nov-2022
https://dl.acm.org/doi/10.1145/3564241
Rajasekaran SKang HČadík MGalin EGuérin EPeytavie ASlavík PBenes B(2022)PTRM: Perceived Terrain Realism MetricACM Transactions on Applied Perception10.1145/351424419:2(1-22)Online publication date: 11-Jul-2022
https://dl.acm.org/doi/10.1145/3514244
Jindal AWolski KMyszkowski KMantiuk R(2021)Perceptual model for adaptive local shading and refresh rateACM Transactions on Graphics10.1145/3478513.348051440:6(1-18)Online publication date: 10-Dec-2021
https://dl.acm.org/doi/10.1145/3478513.3480514
Meng XDu RJaJa JVarshney A(2021)3D-Kernel Foveated Rendering for Light FieldsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.297580127:8(3350-3360)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1109/TVCG.2020.2975801
Kaplanyan ASochenov ALeimkühler TOkunev MGoodall TRufo G(2019)DeepFoveaACM Transactions on Graphics10.1145/3355089.335655738:6(1-13)Online publication date: 8-Nov-2019
https://dl.acm.org/doi/10.1145/3355089.3356557
Hu PSun QDidyk PWei LKaufman A(2019)Reducing simulator sickness with perceptual camera controlACM Transactions on Graphics10.1145/3355089.335649038:6(1-12)Online publication date: 8-Nov-2019
https://dl.acm.org/doi/10.1145/3355089.3356490
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