Now showing items 61-80 of 231

    • An Analytic BRDF for Materials with Spherical Lambertian Scatterers 

      d'Eon, Eugene (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We present a new analytic BRDF for porous materials comprised of spherical Lambertian scatterers. The BRDF has a single parameter: the albedo of the Lambertian particles. The resulting appearance exhibits strong back ...
    • Optimised Path Space Regularisation 

      Weier, Philippe; Droske, Marc; Hanika, Johannes; Weidlich, Andrea; Vorba, Jirí (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We present Optimised Path Space Regularisation (OPSR), a novel regularisation technique for forward path tracing algorithms. Our regularisation controls the amount of roughness added to materials depending on the type of ...
    • Moving Basis Decomposition for Precomputed Light Transport 

      Silvennoinen, Ari; Sloan, Peter-Pike (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We study the problem of efficient representation of potentially high-dimensional, spatially coherent signals in the context of precomputed light transport. We present a basis decomposition framework, Moving Basis Decomposition ...
    • Rendering Point Clouds with Compute Shaders and Vertex Order Optimization 

      Schütz, Markus; Kerbl, Bernhard; Wimmer, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      In this paper, we present several compute-based point cloud rendering approaches that outperform the hardware pipeline by up to an order of magnitude and achieve significantly better frame times than previous compute-based ...
    • Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering 

      Luan, Fujun; Zhao, Shuang; Bala, Kavita; Dong, Zhao (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Reconstructing the shape and appearance of real-world objects using measured 2D images has been a long-standing inverse rendering problem. In this paper, we introduce a new analysis-by-synthesis technique capable of producing ...
    • PosterChild: Blend-Aware Artistic Posterization 

      Chao, Cheng-Kang; Singh, Karan; Gingold, Yotam (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Posterization is an artistic effect which converts continuous images into regions of constant color with smooth boundaries, often with an artistically recolored palette. Artistic posterization is extremely time-consuming ...
    • Video-Based Rendering of Dynamic Stationary Environments from Unsynchronized Inputs 

      Thonat, Theo; Aksoy, Yagiz; Aittala, Miika; Paris, Sylvain; Durand, Fredo; Drettakis, George (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Image-Based Rendering allows users to easily capture a scene using a single camera and then navigate freely with realistic results. However, the resulting renderings are completely static, and dynamic effects - such as ...
    • Q-NET: A Network for Low-dimensional Integrals of Neural Proxies 

      Subr, Kartic (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Integrals of multidimensional functions are often estimated by averaging function values at multiple locations. The use of an approximate surrogate or proxy for the true function is useful if repeated evaluations are ...
    • DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks 

      Neff, Thomas; Stadlbauer, Pascal; Parger, Mathias; Kurz, Andreas; Mueller, Joerg H.; Chaitanya, Chakravarty R. Alla; Kaplanyan, Anton S.; Steinberger, Markus (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      The recent research explosion around implicit neural representations, such as NeRF, shows that there is immense potential for implicitly storing high-quality scene and lighting information in compact neural networks. ...
    • Point-Based Neural Rendering with Per-View Optimization 

      Kopanas, Georgios; Philip, Julien; Leimkühler, Thomas; Drettakis, George (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      There has recently been great interest in neural rendering methods. Some approaches use 3D geometry reconstructed with Multi-View Stereo (MVS) but cannot recover from the errors of this process, while others directly learn ...
    • Real-time Monte Carlo Denoising with Weight Sharing Kernel Prediction Network 

      Fan, Hangming; Wang, Rui; Huo, Yuchi; Bao, Hujun (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Real-time Monte Carlo denoising aims at removing severe noise under low samples per pixel (spp) in a strict time budget. Recently, kernel-prediction methods use a neural network to predict each pixel's filtering kernel and ...
    • Deep Compositional Denoising for High-quality Monte Carlo Rendering 

      Zhang, Xianyao; Manzi, Marco; Vogels, Thijs; Dahlberg, Henrik; Gross, Markus; Papas, Marios (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We propose a deep-learning method for automatically decomposing noisy Monte Carlo renderings into components that kernelpredicting denoisers can denoise more effectively. In our model, a neural decomposition module learns ...
    • Rendering 2021 CGF 40-4: Frontmatter 

      Bousseau, Adrien; McGuire, Morgan (The Eurographics Association and John Wiley & Sons Ltd., 2021)
    • Fabrication-Aware Reverse Engineering for Carpentry 

      Noeckel, James; Zhao, Haisen; Curless, Brian; Schulz, Adriana (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We propose a novel method to generate fabrication blueprints from images of carpentered items. While 3D reconstruction from images is a well-studied problem, typical approaches produce representations that are ill-suited ...
    • Developable Approximation via Gauss Image Thinning 

      Binninger, Alexandre; Verhoeven, Floor; Herholz, Philipp; Sorkine-Hornung, Olga (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Approximating 3D shapes with piecewise developable surfaces is an active research topic, driven by the benefits of developable geometry in fabrication. Piecewise developable surfaces are characterized by having a Gauss ...
    • On Landmark Distances in Polygons 

      Gotsman, Craig; Hormann, Kai (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We study the landmark distance function between two points in a simply connected planar polygon. We show that if the polygon vertices are used as landmarks, then the resulting landmark distance function to any given point ...
    • Practical Computation of the Cut Locus on Discrete Surfaces 

      Mancinelli, Claudio; Livesu, Marco; Puppo, Enrico (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We present a novel method to compute the cut locus of a distance function encoded on a polygonal mesh. Our method exploits theoretical findings about the cut locus and - with a combination of analytic, geometric and ...
    • Geodesic Distance Computation via Virtual Source Propagation 

      Trettner, Philip; Bommes, David; Kobbelt, Leif (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We present a highly practical, efficient, and versatile approach for computing approximate geodesic distances. The method is designed to operate on triangle meshes and a set of point sources on the surface. We also show ...
    • Frame Field Operators 

      Palmer, David; Stein, Oded; Solomon, Justin (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Differential operators are widely used in geometry processing for problem domains like spectral shape analysis, data interpolation, parametrization and mapping, and meshing. In addition to the ubiquitous cotangent Laplacian, ...
    • The Diamond Laplace for Polygonal and Polyhedral Meshes 

      Bunge, Astrid; Botsch, Mario; Alexa, Marc (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We introduce a construction for discrete gradient operators that can be directly applied to arbitrary polygonal surface as well as polyhedral volume meshes. The main idea is to associate the gradient of functions defined ...