Browsing Rendering 2021 - DL-only Track by Subject "Image"

Now showing items 1-4 of 4

    • Fast Polygonal Splatting using Directional Kernel Difference 

      Moroto, Yuji; Hachisuka, Toshiya; Umetani, Nobuyuki (The Eurographics Association, 2021)
      Depth-of-field (DoF) filtering is an important image-processing task for producing blurred images similar to those obtained with a large aperture camera lens. DoF filtering applies an image convolution with a spatially ...

    • NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting 

      Sun, Tiancheng; Lin, Kai-En; Bi, Sai; Xu, Zexiang; Ramamoorthi, Ravi (The Eurographics Association, 2021)
      Human portraits exhibit various appearances when observed from different views under different lighting conditions. We can easily imagine how the face will look like in another setup, but computer algorithms still fail on ...

    • Sampling Clear Sky Models using Truncated Gaussian Mixtures 

      Vitsas, Nick; Vardis, Konstantinos; Papaioannou, Georgios (The Eurographics Association, 2021)
      Parametric clear sky models are often represented by simple analytic expressions that can efficiently generate plausible, natural radiance maps of the sky, taking into account expensive and hard to simulate atmospheric ...

    • Single-image Full-body Human Relighting 

      Lagunas, Manuel; Sun, Xin; Yang, Jimei; Villegas, Ruben; Zhang, Jianming; Shu, Zhixin; Masia, Belen; Gutierrez, Diego (The Eurographics Association, 2021)
      We present a single-image data-driven method to automatically relight images with full-body humans in them. Our framework is based on a realistic scene decomposition leveraging precomputed radiance transfer (PRT) and ...