Image and Video
Simple Techniques for a Novel Human Body Pose Optimisation Using Differentiable Inverse Rendering
Munkhtulga Battogtokh and Rita Borgo
Improved Lighting Models for Facial Appearance Capture
Yingyan Xu, Jérémy Riviere, Gaspard Zoss, Prashanth Chandran, Derek Bradley, and Paulo Gotardo
Fitness of General-Purpose Monocular Depth Estimation Architectures for Transparent Structures
Tristan Wirth, Aria Jamili, Max von Buelow, Volker Knauthe, and Stefan Guthe
Quick Cone Map Generation on the GPU
Gábor Valasek and Róbert Bán
Rendering and Illumination
Robust Sample Budget Allocation for MIS
László Szirmay-Kalos and Mateu Sbert
Stochastic Light Culling for Single Scattering in Participating Media
Shin Fujieda, Yusuke Tokuyoshi, and Takahiro Harada
Real-Time Path-Guiding Based on Parametric Mixture Models
Mikhail Derevyannykh
Procedural Modelling
Procedural Bridges-and-pillars Support Generation
Marco Freire, Samuel Hornus, Salim Perchy, and Sylvain Lefebvre
Scene Synthesis with Automated Generation of Textual Descriptions
Julian Müller-Huschke, Marcel Ritter, and Matthias Harders
Transparent Rendering and Slicing of Integral Surfaces Using Per-primitive Interval Arithmetic
Melike Aydinlilar and Cédric Zanni
Geometry and Shape
A Halfedge Refinement Rule for Parallel Loop Subdivision
Kenneth Vanhoey and Jonathan Dupuy
Resolving Non-Manifoldness on Meshes from Dual Marching Cubes
Daniel Zint, Roberto Grosso, and Philipp Gürtler
Graph-based Computation of Voronoi Diagrams on Large-scale Point-based Surfaces
Arnaud Bletterer, Frédéric Payan, and Marc Antonini
An Improved Triangle Encoding Scheme for Cached Tessellation
Bernhard Kerbl, Linus Horváth, Daniel Cornel, and Michael Wimmer
Learning
Learning Generic Local Shape Properties for Adaptive Super-Sampling
Christian Reinbold and Rüdiger Westermann
Neural Motion Compression with Frequency-adaptive Fourier Feature Network
Kenji Tojo, Yifei Chen, and Nobuyuki Umetani
NeuralMLS: Geometry-Aware Control Point Deformation
Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, and Daniel Cohen-Or
Animation and Simulation
Interactive Facial Expression Editing with Non-linear Blendshape Interpolation
Ji Hyun Roh, Seong Uk Kim, Hanyoung Jang, Yeongho Seol, and Jongmin Kim
Graph Partitioning Algorithms for Rigid Body Simulations
Yinchu Liu and Sheldon Andrews
AvatarGo: Plug and Play self-avatars for VR
Jose Luis Ponton, Eva Monclús, and Nuria Pelechano
Real-time Sponge and Fluid Simulation
Viktória Burkus, Attila Kárpáti, Gergely Klár, and László Szécsi

Recent Submissions

  • Real-time Sponge and Fluid Simulation 

    Burkus, Viktória; Kárpáti, Attila; Klár, Gergely; Szécsi, László (The Eurographics Association, 2022)
    In this paper we present an approach to couple PBD simulation of deformable porous objects with SPH. We propose solutions for simulating the absorption and discharge of fluid by the sponge, and the effect of the fluid on ...
  • EUROGRAPHICS 2022: Short Papers Frontmatter 

    Pelechano, Nuria; Vanderhaeghe, David (The Eurographics Association, 2022)
  • AvatarGo: Plug and Play self-avatars for VR 

    Ponton, Jose Luis; Monclús, Eva; Pelechano, Nuria (The Eurographics Association, 2022)
    The use of self-avatars in a VR application can enhance presence and embodiment which leads to a better user experience. In collaborative VR it also facilitates non-verbal communication. Currently it is possible to track ...
  • Graph Partitioning Algorithms for Rigid Body Simulations 

    Liu, Yinchu; Andrews, Sheldon (The Eurographics Association, 2022)
    We propose several graph partitioning algorithms for improving the performance of rigid body simulations. The algorithms operate on the graph formed by rigid bodies (nodes) and constraints (edges), producing non-overlapping ...
  • Interactive Facial Expression Editing with Non-linear Blendshape Interpolation 

    Roh, Ji Hyun; Kim, Seong Uk; Jang, Hanyoung; Seol, Yeongho; Kim, Jongmin (The Eurographics Association, 2022)
    The ability to manipulate facial animations interactively is vital for enhancing the productivity and quality of character animation. In this paper, we present a novel interactive facial animation editing system that can ...
  • NeuralMLS: Geometry-Aware Control Point Deformation 

    Shechter, Meitar; Hanocka, Rana; Metzer, Gal; Giryes, Raja; Cohen-Or, Daniel (The Eurographics Association, 2022)
    We introduce NeuralMLS, a space-based deformation technique, guided by a set of displaced control points. We leverage the power of neural networks to inject the underlying shape geometry into the deformation parameters. ...
  • Neural Motion Compression with Frequency-adaptive Fourier Feature Network 

    Tojo, Kenji; Chen, Yifei; Umetani, Nobuyuki (The Eurographics Association, 2022)
    We present a neural-network-based compression method to alleviate the storage cost of motion capture data. Human motions such as locomotion, often consist of periodic movements. We leverage this periodicity by applying ...
  • Learning Generic Local Shape Properties for Adaptive Super-Sampling 

    Reinbold, Christian; Westermann, Rüdiger (The Eurographics Association, 2022)
    We propose a novel encoder/decoder-based neural network architecture that learns view-dependent shape and appearance of geometry represented by voxel representations. Since the network is trained on local geometry patches, ...
  • An Improved Triangle Encoding Scheme for Cached Tessellation 

    Kerbl, Bernhard; Horváth, Linus; Cornel, Daniel; Wimmer, Michael (The Eurographics Association, 2022)
    With the recent advances in real-time rendering that were achieved by embracing software rasterization, the interest in alternative solutions for other fixed-function pipeline stages rises. In this paper, we revisit a ...
  • Resolving Non-Manifoldness on Meshes from Dual Marching Cubes 

    Zint, Daniel; Grosso, Roberto; Gürtler, Philipp (The Eurographics Association, 2022)
    There are several methods that reconstruct surfaces from volume data by generating triangle or quad meshes on the dual of the uniform grid. Those methods often provide meshes with better quality than the famous marching ...
  • Graph-based Computation of Voronoi Diagrams on Large-scale Point-based Surfaces 

    Bletterer, Arnaud; Payan, Frédéric; Antonini, Marc (The Eurographics Association, 2022)
    We present an original algorithm to construct Voronoi tessellations on surfaces from a set of depth maps. Based on a local graphbased structure, where each local graph spans one depth map, our algorithm is able to compute ...
  • Transparent Rendering and Slicing of Integral Surfaces Using Per-primitive Interval Arithmetic 

    Aydinlilar, Melike; Zanni, Cédric (The Eurographics Association, 2022)
    We present a method for efficient incorporation of integral surfaces within existing robust processing methods such as interval arithmetic and segment-tracing. We based our approach on high-level knowledge of the field ...
  • A Halfedge Refinement Rule for Parallel Loop Subdivision 

    Vanhoey, Kenneth; Dupuy, Jonathan (The Eurographics Association, 2022)
    We observe that a Loop refinement step invariably splits halfedges into four new ones. We leverage this observation to formulate a breadth-first uniform Loop subdivision algorithm: Our algorithm iterates over halfedges to ...
  • Procedural Bridges-and-pillars Support Generation 

    Freire, Marco; Hornus, Samuel; Perchy, Salim; Lefebvre, Sylvain (The Eurographics Association, 2022)
    Additive manufacturing requires support structures to fabricate parts with overhangs. In this paper, we revisit a known support structure based on bridges-and-pillars (see Figure 1). The support structures are made of ...
  • Scene Synthesis with Automated Generation of Textual Descriptions 

    Müller-Huschke, Julian; Ritter, Marcel; Harders, Matthias (The Eurographics Association, 2022)
    Most current research on automatically captioning and describing scenes with spatial content focuses on images. We outline that generating descriptive text for a synthesized 3D scene can be achieved via a suitable intermediate ...
  • Real-Time Path-Guiding Based on Parametric Mixture Models 

    Derevyannykh, Mikhail (The Eurographics Association, 2022)
    Path-Guiding algorithms for sampling scattering directions can drastically decrease the variance of Monte Carlo estimators of Light Transport Equation, but their production usage was limited to offline rendering because ...
  • Robust Sample Budget Allocation for MIS 

    Szirmay-Kalos, László; Sbert, Mateu (The Eurographics Association, 2022)
    Multiple Importance Sampling (MIS) combines several sampling techniques. Its weighting scheme depends on how many samples are generated with each particular method. This paper examines the optimal determination of the ...
  • Stochastic Light Culling for Single Scattering in Participating Media 

    Fujieda, Shin; Tokuyoshi, Yusuke; Harada, Takahiro (The Eurographics Association, 2022)
    We introduce a simple but efficient method to compute single scattering from point and arbitrarily shaped area light sources in participating media. Our method extends the stochastic light culling method to volume rendering ...
  • Fitness of General-Purpose Monocular Depth Estimation Architectures for Transparent Structures 

    Wirth, Tristan; Jamili, Aria; Buelow, Max von; Knauthe, Volker; Guthe, Stefan (The Eurographics Association, 2022)
    Due to material properties, monocular depth estimation of transparent structures is inherently challenging. Recent advances leverage additional knowledge that is not available in all contexts, i.e., known shape or depth ...
  • Quick Cone Map Generation on the GPU 

    Valasek, Gábor; Bán, Róbert (The Eurographics Association, 2022)
    We propose an efficient conservative cone map generation algorithm that has T(N^2 logN) complexity for textures of dimension N ×N in contrast to the T(N^4) complexity of brute-force approaches. This is achieved by using a ...

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