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)
Files
HDAA_2025.pdf
Files
(194.9 kB)
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Additional details
Related works
- Is supplemented by
- Preprint: 10.5281/zenodo.17168199 (DOI)
- Preprint: 10.5281/zenodo.17215446 (DOI)
References
- Akenine-Möller, T., Haines, E., Hoffman, N. Real-Time Rendering, Fourth Edition, CRC Press, 2018.
- Laine, S., Karras, T., Aila, T., Temporal Accumulation for Real-Time Rendering, ACM SIGGRAPH 2015 Talks.
- 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.