Author: Wang, Lu ×

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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.
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    Reshadable Impostors with Level-of-Detail for Real-Time Distant Objects Rendering
    (The Eurographics Association and John Wiley & Sons Ltd., 2025) Wu, Xiaoloong; Zeng, Zheng; Zhu, Junqiu; Wang, Lu; Wang, Beibei; Wilkie, Alexander
    We propose a new image-based representation for real-time distant objects rendering: Reshadable Impostors with Level-of- Detail (RiLoD). By storing compact geometric and material information captured from a few reference views, RiLoD enables reliable forward mapping to generate target views under dynamic lighting and edited material attributes. In addition, it supports seamless transitions across different levels of detail. To support reshading and LoD simultaneously while maintaining a minimal memory footprint and bandwidth requirement, our key design is a compact yet efficient representation that encodes and compresses the necessary material and geometric information in each reference view. To further improve the visual fidelity, we use a reliable forward mapping technique combined with a hole-filling filtering strategy to ensure geometric completeness and shading consistency. We demonstrate the practicality of RiLoD by integrating it into a modern real-time renderer. RiLoD delivers fast performance across a variety of test scenes, supports smooth transitions between levels of detail as the camera moves closer or farther, and avoids the typical artifacts of impostor techniques that result from neglecting the underlying geometry.