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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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    Glyph-Based Visualization of Affective States 

    Kovacevic, Nikola; Wampfler, Rafael; Solenthaler, Barbara; Gross, Markus; Günther, Tobias (The Eurographics Association, 2020)
    Decades of research in psychology on the formal measurement of emotions led to the concept of affective states. Visualizing the measured affective state can be useful in education, as it allows teachers to adapt lessons ...
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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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    Phase Space Projection of Dynamical Systems 

    Bartolovic, Nemanja; Gross, Markus; Günther, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Dynamical systems are commonly used to describe the state of time-dependent systems. In many engineering and control problems, the state space is high-dimensional making it difficult to analyze and visualize the behavior ...
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    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 ...
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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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    Learning Dynamic 3D Geometry and Texture for Video Face Swapping 

    Otto, Christopher; Naruniec, Jacek; Helminger, Leonhard; Etterlin, Thomas; Mignone, Graziana; Chandran, Prashanth; Zoss, Gaspard; Schroers, Christopher; Gross, Markus; Gotardo, Paulo; Bradley, Derek; Weber, Romann (The Eurographics Association and John Wiley & Sons Ltd., 2022)
    Face swapping is the process of applying a source actor's appearance to a target actor's performance in a video. This is a challenging visual effect that has seen increasing demand in film and television production. Recent ...
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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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    Differentiable Simulation for Outcome-Driven Orthognathic Surgery Planning 

    Dorda, Daniel; Peter, Daniel; Borer, Dominik; Huber, Niko Benjamin; Sailer, Irena; Gross, Markus; Solenthaler, Barbara; Thomaszewski, Bernhard (The Eurographics Association and John Wiley & Sons Ltd., 2022)
    Algorithms at the intersection of computer graphics and medicine have recently gained renewed attention. A particular interest are methods for virtual surgery planning (VSP), where treatment parameters must be carefully ...
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    Gross, Markus (11)
    Bradley, Derek (4)Zoss, Gaspard (4)Gotardo, Paulo (3)Günther, Tobias (3)Manzi, Marco (3)Solenthaler, Barbara (3)Chandran, Prashanth (2)Papas, Marios (2)Zhang, Xianyao (2)... View MoreSubjectComputing methodologies (7)Neural networks (3)Shape modeling (3)Human centered computing (2)Mesh geometry models (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)... View MoreDate Issued2022 (6)2020 (4)2021 (2)Has File(s)true (12)

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    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
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