Hybrid MBlur: A Systematic Approach to Augment Rasterization with Ray Tracing for Rendering Motion Blur in Games

Yu Wei Tan, Xiaohan Cui, Anand Bhojan

2022

Abstract

Motion blur is commonly used in game cinematics to achieve photorealism by modelling the behaviour of the camera shutter and simulating its effect associated with the relative motion of scene objects. A common real-time post-process approach is spatial sampling, where the directional blur of a moving object is rendered by integrating its colour based on velocity information within a single frame. However, such screen space approaches typically cannot produce accurate partial occlusion semi-transparencies. Our real-time hybrid rendering technique leverages hardware-accelerated ray tracing to correct post-process partial occlusion artifacts by advancing rays recursively into the scene to retrieve background information for motion-blurred regions, with reasonable additional performance cost for rendering game contents. We extend our previous work with details on the design, implementation, and future work of the technique as well as performance comparisons with post-processing.

Paper Citation

in Harvard Style

Tan Y., Cui X. and Bhojan A. (2022). Hybrid MBlur: A Systematic Approach to Augment Rasterization with Ray Tracing for Rendering Motion Blur in Games. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP; ISBN 978-989-758-555-5, SciTePress, pages 115-125. DOI: 10.5220/0010984700003124

in Bibtex Style

@conference{grapp22,
author={Yu Wei Tan and Xiaohan Cui and Anand Bhojan},
title={Hybrid MBlur: A Systematic Approach to Augment Rasterization with Ray Tracing for Rendering Motion Blur in Games},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP},
year={2022},
pages={115-125},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010984700003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP
TI - Hybrid MBlur: A Systematic Approach to Augment Rasterization with Ray Tracing for Rendering Motion Blur in Games
SN - 978-989-758-555-5
AU - Tan Y.
AU - Cui X.
AU - Bhojan A.
PY - 2022
SP - 115
EP - 125
DO - 10.5220/0010984700003124
PB - SciTePress