Now showing items 1-16 of 16

    • Point-Pattern Synthesis using Gabor and Random Filters 

      Huang, Xingchang; Memari, Pooran; Seidel, Hans-Peter; Singh, Gurprit (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Point pattern synthesis requires capturing both local and non-local correlations from a given exemplar. Recent works employ deep hierarchical representations from VGG-19 [SZ15] convolutional network to capture the features ...
    • A Bidirectional Formulation for Walk on Spheres 

      Qi, Yang; Seyb, Dario; Bitterli, Benedikt; Jarosz, Wojciech (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Numerically solving partial differential equations (PDEs) is central to many applications in computer graphics and scientific modeling. Conventional methods for solving PDEs often need to discretize the space first, making ...
    • Path Guiding with Vertex Triplet Distributions 

      Schüßler, Vincent; Hanika, Johannes; Jung, Alisa; Dachsbacher, Carsten (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Good importance sampling strategies are decisive for the quality and robustness of photorealistic image synthesis with Monte Carlo integration. Path guiding approaches use transport paths sampled by an existing base sampler ...
    • Automatic Feature Selection for Denoising Volumetric Renderings 

      Zhang, Xianyao; Ott, Melvin; Manzi, Marco; Gross, Markus; Papas, Marios (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose a method for constructing feature sets that significantly improve the quality of neural denoisers for Monte Carlo renderings with volumetric content. Starting from a large set of hand-crafted features, we propose ...
    • Deep Flow Rendering: View Synthesis via Layer-aware Reflection Flow 

      Dai, Pinxuan; Xie, Ning (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Novel view synthesis (NVS) generates images from unseen viewpoints based on a set of input images. It is a challenge because of inaccurate lighting optimization and geometry inference. Although current neural rendering ...
    • Temporally Sliced Photon Primitives for Time-of-flight Rendering 

      Liu, Yang; Jiao, Shaojie; Jarosz, Wojciech (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We derive a class of new Monte Carlo estimators for volumetric time-of-flight rendering, generalizing prior work on transient photon points and beams. Conceptually, our method starts with any steady-state photon primitive ...
    • pOp: Parameter Optimization of Differentiable Vector Patterns 

      Riso, Marzia; Sforza, Davide; Pellacini, Fabio (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Procedural materials are extensively used in computer graphics, since they provide editable, resolution-independent representation of textures. However, tuning the parameters of procedural generators to achieve a desired ...
    • Rendering 2022 CGF 41-4: Frontmatter 

      Ghosh, Abhijeet; Wei, Li-Yi (The Eurographics Association and John Wiley & Sons Ltd., 2022)
    • Recolorable Posterization of Volumetric Radiance Fields Using Visibility-Weighted Palette Extraction 

      Tojo, Kenji; Umetani, Nobuyuki (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Volumetric radiance fields have recently gained significant attention as promising representations of photorealistic scene reconstruction. However, the non-photorealistic rendering of such a representation has barely been ...
    • Once-more Scattered Next Event Estimation for Volume Rendering 

      Hanika, Johannes; Weidlich, Andrea; Droske, Marc (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We present a Monte Carlo path tracing technique to sample extended next event estimation contributions in participating media: we consider one additional scattering vertex on the way to the next event, accounting for focused ...
    • Controlling Material Appearance by Examples 

      Hu, Yiwei; Hašan, Miloš; Guerrero, Paul; Rushmeier, Holly; Deschaintre, Valentin (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Despite the ubiquitous use of materials maps in modern rendering pipelines, their editing and control remains a challenge. In this paper, we present an example-based material control method to augment input material maps ...
    • A Microfacet-based Hair Scattering Model 

      Huang, Weizhen; Hullin, Matthias B.; Hanika, Johannes (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      The development of scattering models and rendering algorithms for human hair remains an important area of research in computer graphics. Virtually all available models for scattering off hair or fur fibers are based on ...
    • Physics-Based Inverse Rendering using Combined Implicit and Explicit Geometries 

      Cai, Guangyan; Yan, Kai; Dong, Zhao; Gkioulekas, Ioannis; Zhao, Shuang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Mathematically representing the shape of an object is a key ingredient for solving inverse rendering problems. Explicit representations like meshes are efficient to render in a differentiable fashion but have difficulties ...
    • Microsurface Transformations 

      Atanasov, Asen; Koylazov, Vladimir; Dimov, Rossen; Wilkie, Alexander (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We derive a general result in microfacet theory: given an arbitrary microsurface defined via standard microfacet statistics, we show how to construct the statistics of its linearly transformed counterparts. A common use ...
    • A Position-Free Path Integral for Homogeneous Slabs and Multiple Scattering on Smith Microfacets 

      Bitterli, Benedikt; d'Eon, Eugene (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We consider the problem of multiple scattering on Smith microfacets. This problem is equivalent to computing volumetric light transport in a homogeneous slab. Although the symmetry of the slab allows for significant ...
    • Single-pass Stratified Importance Resampling 

      Ciklabakkal, Ege; Gruson, Adrien; Georgiev, Iliyan; Nowrouzezahrai, Derek; Hachisuka, Toshiya (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Resampling is the process of selecting from a set of candidate samples to achieve a distribution (approximately) proportional to a desired target. Recent work has revisited its application to Monte Carlo integration, ...