Published July 3, 2025 | Version 1.0.0
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Hybrid Deterministic Anti-Aliasing for Real-Time Graphics

Authors/Creators

Description

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 Info

Company
Contact: GamerEase.contact@gmail.com

Researcher
Contact: Hybred.Business@gmail.com

Notes (English)

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.

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Additional details

Related works

Is supplemented by
Preprint: 10.5281/zenodo.17168199 (DOI)
Preprint: 10.5281/zenodo.17215446 (DOI)

References

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  • NVIDIA Corporation, DLSS: Deep Learning Super Sampling, Whitepaper, 2023.
  • AMD, FidelityFX Super Resolution 3 Technical Overview, 2024
  • Unreal Engine Documentation, Temporal Super Resolution, 2023.
  • Timothy Lottes, Fixing Graphics?, 2024.