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    PointProNets: Consolidation of Point Clouds with Convolutional Neural Networks 

    Roveri, Riccardo; Öztireli, A. Cengiz; Pandele, Ioana; Gross, Markus (The Eurographics Association and John Wiley & Sons Ltd., 2018)
    With the widespread use of 3D acquisition devices, there is an increasing need of consolidating captured noisy and sparse point cloud data for accurate representation of the underlying structures. There are numerous ...
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    Semantic Segmentation for Line Drawing Vectorization Using Neural Networks 

    Kim, Byungsoo; Wang, Oliver; Öztireli, A. Cengiz; Gross, Markus (The Eurographics Association and John Wiley & Sons Ltd., 2018)
    In this work, we present a method to vectorize raster images of line art. Inverting the rasterization procedure is inherently ill-conditioned, as there exist many possible vector images that could yield the same raster ...

    Deep Fluids: A Generative Network for Parameterized Fluid Simulations 

    Kim, Byungsoo; Azevedo, Vinicius C.; Thuerey, Nils; Kim, Theodore; Gross, Markus; Solenthaler, Barbara (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    This paper presents a novel generative model to synthesize fluid simulations from a set of reduced parameters. A convolutional neural network is trained on a collection of discrete, parameterizable fluid simulation velocity ...

    Controlling Motion Blur in Synthetic Long Time Exposures 

    Lancelle, Marcel; Dogan, Pelin; Gross, Markus (The Eurographics Association and John Wiley & Sons Ltd., 2019)
    In a photo, motion blur can be used as an artistic style to convey motion and to direct attention. In panning or tracking shots, a moving object of interest is followed by the camera during a relatively long exposure. The ...

    Example-Based Brushes for Coherent Stylized Renderings 

    Zheng, Ming; Milliez, Antoine; Gross, Markus; Sumner, Robert W. (Association for Computing Machinery, Inc (ACM), 2017)
    Painterly stylization is the cornerstone of non-photorealistic render- ing. Inspired by the versatility of paint as a physical medium, exist- ing methods target intuitive interfaces that mimic physical brushes, providing ...
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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 ...

    Designing Cable-Driven Actuation Networks for Kinematic Chains and Trees 

    Megaro, Vittorio; Knoop, Espen; Spielberg, Andrew; Levin, David I.W.; Matusik, Wojciech; Gross, Markus; Thomaszewski, Bernhard; Bächer, Moritz (ACM, 2017)
    In this paper we present an optimization-based approach for the design of cable-driven kinematic chains and trees. Our system takes as input a hierarchical assembly consisting of rigid links jointed together with hinges. ...
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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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    Gross, Markus (10)
    Bradley, Derek (3)Zoss, Gaspard (3)Gotardo, Paulo (2)Gross, Markus (2)Kim, Byungsoo (2)Manzi, Marco (2)Solenthaler, Barbara (2)Öztireli, A. Cengiz (2)Aydin, Tunç Ozan (1)... View MoreSubject
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    Neural networks (3)Shape modeling (3)Animation (2)Computational photography (2)Image processing (2)Mesh geometry models (2)Physical simulation (2)Ray tracing (2)||| (2)... View MoreDate Issued2022 (4)2017 (2)2018 (2)2019 (2)2020 (2)2021 (1)Has File(s)true (13)

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