k-DOP Clipping: Robust Ghosting Mitigation in Temporal Antialiasing

Temporal antialiasing is one of the most common methods for removing aliasing artifacts in contemporary real-time rendering, based on utilizing reprojected color data from previous frames. One typical issue with the method is ghosting: moving objects leaving a wake of visual trails. To mitigate this, a common technique is to validate and rectify reused history colors by comparing and clipping them to the color neighborhoods of the current frame’s pixels. Previous, bounding box based methods are only situationally effective and cause significant ghosting in less favorable circumstances. We propose using k-Discrete Oriented Polytopes (“k-DOPs”) for more robust neighborhood clipping. For a 0.2 ms performance overhead, our method more reliably mitigates ghosting across scenes where previous methods have inconsistent results.

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Published
2024-11-19
DOI
https://doi.org/10.1145/3681758.3697996
Primary Topic
Evacuation and Crowd Dynamics
Type
article
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article

k-DOP Clipping: Robust Ghosting Mitigation in Temporal Antialiasing

Markku Mäkitalo, Tuomas Lauttia, Julius Ikkala, Pekka Jääskeläinen
Evacuation and Crowd Dynamics
article

k-DOP Clipping: Robust Ghosting Mitigation in Temporal Antialiasing

Markku Mäkitalo, Tuomas Lauttia, Julius Ikkala, Pekka Jääskeläinen
article en

Abstract

Temporal antialiasing is one of the most common methods for removing aliasing artifacts in contemporary real-time rendering, based on utilizing reprojected color data from previous frames. One typical issue with the method is ghosting: moving objects leaving a wake of visual trails. To mitigate this, a common technique is to validate and rectify reused history colors by comparing and clipping them to the color neighborhoods of the current frame’s pixels. Previous, bounding box based methods are only situationally effective and cause significant ghosting in less favorable circumstances. We propose using k-Discrete Oriented Polytopes (“k-DOPs”) for more robust neighborhood clipping. For a 0.2 ms performance overhead, our method more reliably mitigates ghosting across scenes where previous methods have inconsistent results.

Tampere University (FI)
Climate action
Openalex Percentile: Top 72%
Evacuation and Crowd Dynamics
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