Neural Outline Cache for Real-time Anti-aliasing Font Rendering
Abstract
Neural textures have emerged as pivotal assets in next-generation neural rendering pipelines. However, hardware limitations and programming interface constraints lead to suboptimal performance in multi-instance real-time rendering scenarios. This bottleneck becomes particularly acute for texture-intensive tasks such as font rendering. To address this, we propose neural outline cache (NOC), a novel neural font representation supporting real-time anti-aliased rendering and procedural editing within modern neural graphics pipelines. NOC's lightweight network leverages multi-resolution hash encoding to cache spline-derived SDFs, delivering anti-aliased rendering via standard graphics pipelines. For massive-instance scalability, our cache buffer layout and batch-fused inference—tailored for NOC—eliminate neural texture binding bottlenecks. Benchmarks achieve 57.35 dB PSNR, 0.9980 SSIM, and 0.00116 MSE in offline rendering, while sustaining 0.51ms latency with 500 live instances. The integrated procedural node system enables real-time artistic font synthesis, certifying NOC as a production-grade neural asset.
Fields of Study & Subjects
Computer Graphics and Visualization Techniques
Generative Adversarial Networks and Image Synthesis
3D Shape Modeling and Analysis
Publication details
- Journal / source
- Underline Science Inc.
- Publication date
- 7 January 2026
- Language
- EN