Eurographics Workshops and Symposia

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Browsing Eurographics Workshops and Symposia by Author "Akenine-Möller, Tomas"

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    FLIP: A Difference Evaluator for Alternating Images
    (ACM, 2020) Andersson, Pontus; Nilsson, Jim; Akenine-Möller, Tomas; Oskarsson, Magnus; Åström, Kalle; Fairchild, Mark D.; Yuksel, Cem and Membarth, Richard and Zordan, Victor
    Image quality measures are becoming increasingly important in the field of computer graphics. For example, there is currently a major focus on generating photorealistic images in real time by combining path tracing with denoising, for which such quality assessment is integral. We present FLIP, which is a difference evaluator with a particular focus on the differences between rendered images and corresponding ground truths. Our algorithm produces a map that approximates the difference perceived by humans when alternating between two images. FLIP is a combination of modified existing building blocks, and the net result is surprisingly powerful. We have compared our work against a wide range of existing image difference algorithms and we have visually inspected over a thousand image pairs that were either retrieved from image databases or generated in-house. We also present results of a user study which indicate that our method performs substantially better, on average, than the other algorithms. To facilitate the use of FLIP, we provide source code in C++, MATLAB, NumPy/SciPy, and PyTorch.
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    Temporally Dense Ray Tracing
    (The Eurographics Association, 2019) Andersson, Pontus; Nilsson, Jim; Salvi, Marco; Spjut, Josef; Akenine-Möller, Tomas; Steinberger, Markus and Foley, Tim
    We present a technique for real-time ray tracing with the goal of reaching 240 frames per second or more. The core idea is to trade spatial resolution for faster temporal updates in such a way that the display and human visual system aid in integrating high-quality images. We use a combination of frameless and interleaved rendering concepts together with ideas from temporal antialiasing algorithms and novel building blocks-the major one being adaptive selection of pixel orderings within tiles, which reduces spatiotemporal aliasing significantly. The image quality is verified with a user study. Our work can be used for esports or any kind of rendering where higher frame rates are needed.