• Fast Procedural Noise By Monte Carlo Sampling 

  Fajardo, Marcos; Pharr, Matt (The Eurographics Association, 2023)

  Procedural noise functions are widely used in computer graphics as a way to add texture detail to surfaces and volumes. Many noise functions are based on weighted sums that can be expressed in terms of random variables, ...

• Deep Compositional Denoising on Frame Sequences 

  Zhang, Xianyao; Röthlin, Gerhard; Manzi, Marco; Gross, Markus; Papas, Marios (The Eurographics Association, 2023)

  Path tracing is the prevalent rendering algorithm in the animated movies and visual effects industry, thanks to its simplicity and ability to render physically plausible lighting effects. However, we must simulate millions ...

• Gaze-Contingent Perceptual Level of Detail Prediction 

  Surace, Luca; Tursun, Cara; Celikcan, Ufuk; Didyk, Piotr (The Eurographics Association, 2023)

  New virtual reality headsets and wide field-of-view displays rely on foveated rendering techniques that lower the rendering quality for peripheral vision to increase performance without a perceptible quality loss. While ...

• Practical Temporal and Stereoscopic Filtering for Real-time Ray Tracing 

  Philippi, Henrik; Frisvad, Jeppe Revall; Jensen, Henrik Wann (The Eurographics Association, 2023)

  We present a practical method for temporal and stereoscopic filtering that generates stereo-consistent rendering. Existing methods for stereoscopic rendering often reuse samples from one eye for the other or do averaging ...

• An Inverted Pyramid Acceleration Structure Guiding Foveated Sphere Tracing for Implicit Surfaces in VR 

  Polychronakis, Andreas; Koulieris, George Alex; Mania, Katerina (The Eurographics Association, 2023)

  In this paper, we propose a novel rendering pipeline for sphere tracing signed distance functions (SDFs) that significantly improves sphere tracing performance. Previous methods simply focus on over-relaxing the step size ...

• FloralSurf: Space-Filling Geodesic Ornaments 

  Albano, Valerio; Fanni, Filippo Andrea; Giachetti, Andrea; Pellacini, Fabio (The Eurographics Association, 2023)

  We propose a method to generate floral patterns on manifolds without relying on parametrizations. Taking inspiration from the literature on procedural space-filling vegetation, these patterns are made of non-intersecting ...

• pEt: Direct Manipulation of Differentiable Vector Patterns 

  Riso, Marzia; Pellacini, Fabio (The Eurographics Association, 2023)

  Procedural assets are used in computer graphics applications since variations can be obtained by changing the parameters of the procedural programs. As the number of parameters increases, editing becomes cumbersome as users ...

• Learning Projective Shadow Textures for Neural Rendering of Human Cast Shadows from Silhouettes 

  Einabadi, Farshad; Guillemaut, Jean-Yves; Hilton, Adrian (The Eurographics Association, 2023)

  This contribution introduces a two-step, novel neural rendering framework to learn the transformation from a 2D human silhouette mask to the corresponding cast shadows on background scene geometries. In the first step, the ...

• Data-driven Pixel Filter Aware MIP Maps for SVBRDFs 

  Kemppinen, Pauli; Aittala, Miika; Lehtinen, Jaakko (The Eurographics Association, 2023)

  We propose a data-driven approach for generating MIP map pyramids from SVBRDF parameter maps. We learn a latent material representation where linear image downsampling corresponds to linear prefiltering of surface reflectance. ...

• SparseBTF: Sparse Representation Learning for Bidirectional Texture Functions 

  Kavoosighafi, Behnaz; Frisvad, Jeppe Revall; Hajisharif, Saghi; Unger, Jonas; Miandji, Ehsan (The Eurographics Association, 2023)

  We propose a novel dictionary-based representation learning model for Bidirectional Texture Functions (BTFs) aiming at compact storage, real-time rendering performance, and high image quality. Our model is trained once, ...

• Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training 

  Philip, Julien; Deschaintre, Valentin (The Eurographics Association, 2023)

  NeRF acquisition typically requires careful choice of near planes for the different cameras or suffers from background collapse, creating floating artifacts on the edges of the captured scene. The key insight of this work ...

• A Microfacet Model for Specular Fluorescent Surfaces and Fluorescent Volume Rendering using Quantum Dots 

  Benamira, Alexis; Pattanaik, Sumant (The Eurographics Association, 2023)

  Fluorescent appearance of materials results from a complex light-material interaction phenomenon. The modeling of fluorescent material for rendering has only been addressed through measurement or for simple diffuse ...

• Mean Value Caching for Walk on Spheres 

  Bakbouk, Ghada; Peers, Pieter (The Eurographics Association, 2023)

  Walk on Spheres (WoS) is a grid-free Monte Carlo method for numerically estimating solutions for elliptical partial differential equations (PDE) such as the Laplace and Poisson PDEs. While WoS is efficient for computing a ...

• Rendering 2023 Symposium Track: Frontmatter 

  Ritschel, Tobias; Weidlich, Andrea (The Eurographics Association, 2023)

• Generalized Decoupled and Object Space Shading System 

  Baker, Daniel; Jarzynski, Mark (The Eurographics Association, 2022)

  We present a generalized decoupled and object space shading system. This system includes a new layer material system, a dynamic hierarchical sparse shade space allocation system, a GPU shade work dispatcher, and a multi-frame ...

• Multi-Fragment Rendering for Glossy Bounces on the GPU 

  Yoshimura, Atsushi; Tokuyoshi, Yusuke; Harada, Takahiro (The Eurographics Association, 2022)

  Multi-fragment rendering provides additional degrees of freedom in postprocessing. It allows us to edit images rendered with antialiasing, motion blur, depth of field, and transparency. To store multiple fragments, ...

• GAN-based Defect Image Generation for Imbalanced Defect Classification of OLED panels 

  Jeon, Yongmoon; Kim, Haneol; Lee, Hyeona; Jo, Seonghoon; Kim, Jaewon (The Eurographics Association, 2022)

  Image classification based on neural networks has been widely explored in machine learning and most research have focused on developing more efficient and accurate network models for given image dataset mostly over natural ...

• Spatiotemporal Blue Noise Masks 

  Wolfe, Alan; Morrical, Nathan; Akenine-Möller, Tomas; Ramamoorthi, Ravi (The Eurographics Association, 2022)

  Blue noise error patterns are well suited to human perception, and when applied to stochastic rendering techniques, blue noise masks can minimize unwanted low-frequency noise in the final image. Current methods of applying ...

• HedcutDrawings: Rendering Hedcut Style Portraits 

  Pena-Pena, Karelia; Arce, Gonzalo R. (The Eurographics Association, 2022)

  Stippling illustrations of CEOs, authors, and world leaders have become an iconic style. Dot after dot is meticulously placed by professional artists to complete a hedcut, being an extremely time-consuming and painstaking ...

• GPU-Driven Real-Time Mesh Contour Vectorization 

  Jiang, Wangziwei; Li, Guiqing; Nie, Yongwei; Xian, Chuhua (The Eurographics Association, 2022)

  Rendering contours of 3D meshes has a wide range of applications. Previous CPU-based contour rendering algorithms support advanced stylized effects but cannot achieve realtime performance. On the other hand, real-time ...

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