High-Performance Real-Time Implicit Strand-Based Hair Rendering via Software Rasterization

Summary · qwen2.5:32b

Researchers propose a software rasterization pipeline for real-time rendering of strand-based hair using hair meshes, significantly enhancing performance and compatibility beyond existing methods. This advancement allows for efficient far-field hair rendering at minimal computational cost by integrating deferred shading with strand filtering and an LOD scheme, marking the first approach to combine such efficiency, flexibility, and broad hardware support. The method uses a single sample per pixel for rendering, reducing the need for high-end hardware.

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Rendering an efficient deferred software rasterization pipeline for real-time rendering of strand-based hair using hair meshes

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arXiv:2607.04230v1 Announce Type: new Abstract: In this work we propose an efficient deferred software rasterization pipeline for real-time rendering of strand-based hair using hair meshes. Hair plays a crucial role in creating expressive 3D characters, yet strand-based approaches are often restricted to high-end hardware and typically applied to only a small number of hero characters. Hair meshes have proven to be an efficient representation capable of handling a wide variety of groom styles, but existing mesh shader-based implementations still suffer from significant bottlenecks. In this work, we address these limitations with a software rasterization approach that improves performance and compatibility. Our method enables efficient far-field strand-based hair rendering-even at a single sample per pixel-by combining deferred shading with a strand filtering and reconstruction step, while requiring only minimal hardware support. To further enhance scalability, we introduce a level-of-detail (LOD) scheme that adapts hair representation and shading complexity based on viewing distance and screen-space coverage, reducing computational cost further while preserving visual fidelity. To the best of our knowledge, this is the first approach to achieve this combination of efficiency, flexibility, scalability, and broad hardware compatibility.