• A Compact Representation for Fluorescent Spectral Data 

  Hua, Qingqin; Fichet, Alban; Wilkie, Alexander (The Eurographics Association, 2021)

  We propose a technique to efficiently importance sample and store fluorescent spectral data. Fluorescence behaviour is properly represented as a re-radiation matrix: for a given input wavelength, this matrix indicates how ...

• Moment-based Constrained Spectral Uplifting 

  Tódová, Lucia; Wilkie, Alexander; Fascione, Luca (The Eurographics Association, 2021)

  Spectral rendering is increasingly used in appearance-critical rendering workflows due to its ability to predict colour values under varying illuminants. However, directly modelling assets via input of spectral data is a ...

• Modeling Surround-aware Contrast Sensitivity 

  Yi, Shinyoung; Jeon, Daniel S.; Serrano, Ana; Jeong, Se-Yoon; Kim, Hui-Yong; Gutierrez, Diego; Kim, Min H. (The Eurographics Association, 2021)

  Despite advances in display technology, many existing applications rely on psychophysical datasets of human perception gathered using older, sometimes outdated displays. As a result, there exists the underlying assumption ...

• A Low-Dimensional Perceptual Space for Intuitive BRDF Editing 

  Shi, Weiqi; Wang, Zeyu; Soler, Cyril; Rushmeier, Holly (The Eurographics Association, 2021)

  Understanding and characterizing material appearance based on human perception is challenging because of the highdimensionality and nonlinearity of reflectance data. We refer to the process of identifying specific ...

• Human Hair Inverse Rendering using Multi-View Photometric data 

  Sun, Tiancheng; Nam, Giljoo; Aliaga, Carlos; Hery, Christophe; Ramamoorthi, Ravi (The Eurographics Association, 2021)

  We introduce a hair inverse rendering framework to reconstruct high-fidelity 3D geometry of human hair, as well as its reflectance, which can be readily used for photorealistic rendering of hair. We take multi-view photometric ...

• 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 ...

• 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 ...

• MatMorpher: A Morphing Operator for SVBRDFs 

  Gauthier, Alban; Thiery, Jean-Marc; Boubekeur, Tamy (The Eurographics Association, 2021)

  We present a novel morphing operator for spatially-varying bidirectional reflectance distribution functions. Our operator takes as input digital materials modeled using a set of 2D texture maps which control the typical ...

• Practical Ply-Based Appearance Modeling for Knitted Fabrics 

  Montazeri, Zahra; Gammelmark, Søren; Jensen, Henrik Wann; Zhao, Shuang (The Eurographics Association, 2021)

  Abstract Modeling the geometry and the appearance of knitted fabrics has been challenging due to their complex geometries and interactions with light. Previous surface-based models have difficulties capturing fine-grained ...

• Firefly Removal in Monte Carlo Rendering with Adaptive Median of meaNs 

  Buisine, Jérôme; Delepoulle, Samuel; Renaud, Christophe (The Eurographics Association, 2021)

  Estimating the rendering equation using Monte Carlo methods produces photorealistic images by evaluating a large number of samples of the rendering equation per pixel. The final value for each pixel is then calculated as ...

• Fast Analytic Soft Shadows from Area Lights 

  Kt, Aakash; Sakurikar, Parikshit; Narayanan, P. J. (The Eurographics Association, 2021)

  In this paper, we present the first method to analytically compute shading and soft shadows for physically based BRDFs from arbitrary area lights.We observe that for a given shading point, shadowed radiance can be computed ...

• Appearance-Driven Automatic 3D Model Simplification 

  Hasselgren, Jon; Munkberg, Jacob; Lehtinen, Jaakko; Aittala, Miika; Laine, Samuli (The Eurographics Association, 2021)

  We present a suite of techniques for jointly optimizing triangle meshes and shading models to match the appearance of reference scenes. This capability has a number of uses, including appearance-preserving simplification ...

• 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 ...

• Material and Lighting Reconstruction for Complex Indoor Scenes with Texture-space Differentiable Rendering 

  Nimier-David, Merlin; Dong, Zhao; Jakob, Wenzel; Kaplanyan, Anton (The Eurographics Association, 2021)

  Modern geometric reconstruction techniques achieve impressive levels of accuracy in indoor environments. However, such captured data typically keeps lighting and materials entangled. It is then impossible to manipulate the ...

• Semantic-Aware Generative Approach for Image Inpainting 

  Chanda, Deepankar; Kalantari, Nima Khademi (The Eurographics Association, 2021)

  We propose a semantic-aware generative method for image inpainting. Specifically, we divide the inpainting process into two tasks; estimating the semantic information inside the masked areas and inpainting these regions ...

• Practical Product Sampling for Single Scattering in Media 

  Villeneuve, Keven; Gruson, Adrien; Georgiev, Iliyan; Nowrouzezahrai, Derek (The Eurographics Association, 2021)

  Efficient Monte-Carlo estimation of volumetric single scattering remains challenging due to various sources of variance, including transmittance, phase-function anisotropy, geometric cosine foreshortening, and squared-distance ...

• Importance Sampling of Glittering BSDFs based on Finite Mixture Distributions 

  Chermain, Xavier; Sauvage, Basile; Dischler, Jean-Michel; Dachsbacher, Carsten (The Eurographics Association, 2021)

  We propose an importance sampling scheme for the procedural glittering BSDF of Chermain et al. [CSDD20]. Glittering BSDFs have multi-lobe visible normal distribution functions (VNDFs) which are difficult to sample. They ...

• 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 ...

• Stochastic Generation of (t, s) Sample Sequences 

  Helmer, Andrew; Christensen, Per; Kensler, Andrew (The Eurographics Association, 2021)

  We introduce a novel method to generate sample sequences that are progressively stratified both in high dimensions and in lower-dimensional projections. Our method comes from a new observation that Owen-scrambled quasi-Monte ...

• Zero-variance Transmittance Estimation 

  d'Eon, Eugene; Novák, Jan (The Eurographics Association, 2021)

  We apply zero-variance theory to the Volterra integral formulation of volumetric transmittance.We solve for the guided sampling decisions in this framework that produce zero-variance ratio tracking and next-flight ratio ...

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