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Author: Huang, Tao ×

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    Real-time Level-of-detail Strand-based Rendering
    (The Eurographics Association and John Wiley & Sons Ltd., 2025) Huang, Tao; Zhou, Yang; Lin, Daqi; Zhu, Junqiu; Yan, Ling-Qi; Wu, Kui; Wang, Beibei; Wilkie, Alexander
    We present a real-time strand-based rendering framework that ensures seamless transitions between different level-of-detail (LoD) while maintaining a consistent appearance. We first introduce an aggregated BCSDF model to accurately capture both single and multiple scattering within the cluster for hairs and fibers. Building upon this, we further introduce a LoD framework for hair rendering that dynamically, adaptively, and independently replaces clusters of individual hairs with thick strands based on their projected screen widths. Through tests on diverse hairstyles with various hair colors and animation, as well as knit patches, our framework closely replicates the appearance of multiple-scattered full geometries at various viewing distances, achieving up to a 13× speedup.
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    Detail-Preserving Real-Time Hair Strand Linking and Filtering
    (The Eurographics Association and John Wiley & Sons Ltd., 2025) Huang, Tao; Yuan, JunPing; Hu, Ruike; Wang, Lu; Guo, Yanwen; Chen, Bin; Guo, Jie; Zhu, Junqiu; Wang, Beibei; Wilkie, Alexander
    Realistic hair rendering remains a significant challenge in computer graphics due to the intricate microstructure of hair fibers and their anisotropic scattering properties, which make them highly sensitive to noise. Although recent advancements in imagespace and 3D-space denoising and antialiasing techniques have facilitated real-time rendering in simple scenes, existing methods still struggle with excessive blurring and artifacts, particularly in fine hair details such as flyaway strands. These issues arise because current techniques often fail to preserve sub-pixel continuity and lack directional sensitivity in the filtering process. To address these limitations, we introduce a novel real-time hair filtering technique that effectively reconstructs fine fiber details while suppressing noise. Our method improves visual quality by maintaining strand-level details and ensuring computational efficiency, making it well-suited for real-time applications in video games and virtual reality (VR) and augmented reality (AR) environments.