Browsing by Author "Xu, Yanning"

Now showing items 1-4 of 4

    • Joint SVBRDF Recovery and Synthesis From a Single Image using an Unsupervised Generative Adversarial Network 

      Zhao, Yezi; Wang, Beibei; Xu, Yanning; Zeng, Zheng; Wang, Lu; Holzschuch, Nicolas (The Eurographics Association, 2020)
      We want to recreate spatially-varying bi-directional reflectance distribution functions (SVBRDFs) from a single image. Pro- ducing these SVBRDFs from single images will allow designers to incorporate many new materials in ...

    • Real‐Time Microstructure Rendering with MIP‐Mapped Normal Map Samples 

      Tan, Haowen; Zhu, Junqiu; Xu, Yanning; Meng, Xiangxu; Wang, Lu; Yan, Ling‐Qi (© 2022 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2022)
      Normal map‐based microstructure rendering can generate both glint and scratch appearance accurately. However, the extra high‐resolution normal map that defines every microfacet normal may incur high storage and computation ...

    • A Stationary SVBRDF Material Modeling Method Based on Discrete Microsurface 

      Zhu, Junqiu; Xu, Yanning; Wang, Lu (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Microfacet theory is commonly used to build reflectance models for surfaces. While traditional microfacet-based models assume that the distribution of a surface's microstructure is continuous, recent studies indicate that ...

    • Unsupervised Image Reconstruction for Gradient-Domain Volumetric Rendering 

      Xu, Zilin; Sun, Qiang; Wang, Lu; Xu, Yanning; Wang, Beibei (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Gradient-domain rendering can highly improve the convergence of light transport simulation using the smoothness in image space. These methods generate image gradients and solve an image reconstruction problem with rendered ...