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ZENODO
Preprint . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Hybrid Deterministic Anti-Aliasing for Real-Time Graphics

Authors: GamerEase;

Hybrid Deterministic Anti-Aliasing for Real-Time Graphics

Abstract

This paper presents Hybrid Deterministic Anti-Aliasing (HDAA), a volatile-aware, confidence-driven technique for real-time anti-aliasing in games. The study emphasizes the methodology and theoretical analysis of HDAA, which eliminates motion-induced artifacts such as blur, ghosting, and smearing by combining deterministic jitter, per-pixel confidence validation, volatile pixel masking, and adaptive spatial fallback. The work is aimed at game engine developers and graphics researchers seeking artifact-free anti-aliasing solutions. No prototype implementations or images are included; the paper is intended as a conceptual reference for integrating efficient, deterministic anti-aliasing techniques into real-time rendering pipelines. Contact & Contributor InfoCompanyContact: GamerEase.contact@gmail.com ResearcherContact: Hybred.Business@gmail.com

Notice: This paper may contain minor formatting inconsistencies resulting from LaTeX-to-PDF conversion, which could affect certain mathematical symbols. All content remains legible and accurate.

Keywords

anti-aliasing, real-time rendering, taa

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green