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    Controllable Caustic Animation Using Vector Fields 

    Rojo, Irene Baeza; Gross, Markus; Günther, Tobias (The Eurographics Association, 2020)
    In movie production, lighting is commonly used to redirect attention or to set the mood in a scene. The detailed editing of complex lighting phenomena, however, is as tedious as it is important, especially with dynamic ...
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    Interactive Sculpting of Digital Faces Using an Anatomical Modeling Paradigm 

    Gruber, Aurel; Fratarcangeli, Marco; Zoss, Gaspard; Cattaneo, Roman; Beeler, Thabo; Gross, Markus; Bradley, Derek (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Digitally sculpting 3D human faces is a very challenging task. It typically requires either 1) highly-skilled artists using complex software packages for high quality results, or 2) highly-constrained simple interfaces for ...
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    Robust Image Denoising using Kernel Predicting Networks 

    Cai, Zhilin; Zhang, Yang; Manzi, Marco; Oztireli, Cengiz; Gross, Markus; Aydin, Tunç Ozan (The Eurographics Association, 2021)
    We present a new method for designing high quality denoisers that are robust to varying noise characteristics of input images. Instead of taking a conventional blind denoising approach or relying on explicit noise parameter ...
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    Shape Transformers: Topology-Independent 3D Shape Models Using Transformers 

    Chandran, Prashanth; Zoss, Gaspard; Gross, Markus; Gotardo, Paulo; Bradley, Derek (The Eurographics Association and John Wiley & Sons Ltd., 2022)
    Parametric 3D shape models are heavily utilized in computer graphics and vision applications to provide priors on the observed variability of an object's geometry (e.g., for faces). Original models were linear and operated ...
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    Facial Animation with Disentangled Identity and Motion using Transformers 

    Chandran, Prashanth; Zoss, Gaspard; Gross, Markus; Gotardo, Paulo; Bradley, Derek (The Eurographics Association and John Wiley & Sons Ltd., 2022)
    We propose a 3D+time framework for modeling dynamic sequences of 3D facial shapes, representing realistic non-rigid motion during a performance. Our work extends neural 3D morphable models by learning a motion manifold ...
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    Deep Reconstruction of 3D Smoke Densities from Artist Sketches 

    Kim, Byungsoo; Huang, Xingchang; Wuelfroth, Laura; Tang, Jingwei; Cordonnier, Guillaume; Gross, Markus; Solenthaler, Barbara (The Eurographics Association and John Wiley & Sons Ltd., 2022)
    Creative processes of artists often start with hand-drawn sketches illustrating an object. Pre-visualizing these keyframes is especially challenging when applied to volumetric materials such as smoke. The authored 3D density ...
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    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 ...

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    Gross, Markus (6)
    Bradley, Derek (3)Zoss, Gaspard (3)Gotardo, Paulo (2)Manzi, Marco (2)Aydin, Tunç Ozan (1)Beeler, Thabo (1)Cai, Zhilin (1)Cattaneo, Roman (1)Chandran, Prashanth (1)... View MoreSubject
    Computing methodologies (7)
    Shape modeling (3)Mesh geometry models (2)Neural networks (2)Ray tracing (2)Animation (1)CCS Concepts: Computing methodologies --> Motion processing; Shape modeling; Mesh geometry models (1)CCS Concepts: Computing methodologies --> Ray tracing; Feature selection; Neural networks (1)CCS Concepts: Computing methodologies --> Shape modeling; Modeling methodologies (1)CCS Concepts: Computing methodologies --> Shape modeling; Neural networks (1)... View MoreDate Issued2022 (4)2020 (2)2021 (1)Has File(s)true (7)

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