Now showing items 21-40 of 41

    • Semantic Segmentation in Art Paintings 

      Cohen, Nadav; Newman, Yael; Shamir, Ariel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Semantic segmentation is a difficult task even when trained in a supervised manner on photographs. In this paper, we tackle the problem of semantic segmentation of artistic paintings, an even more challenging task because ...
    • Procedural Roof Generation From a Single Satellite Image 

      Zhang, Xiaowei; Aliaga, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Urban procedural modeling has benefited from recent advances in deep learning and computer graphics. However, few, if any, approaches have automatically produced procedural building roof models from a single overhead ...
    • Constrained Remeshing Using Evolutionary Vertex Optimization 

      Zhang, Wen-Xiang; Wang, Qi; Guo, Jia-Peng; Chai, Shuangming; Liu, Ligang; Fu, Xiao-Ming (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose a simple yet effective method to perform surface remeshing with hard constraints, such as bounding approximation errors and ensuring Delaunay conditions. The remeshing is formulated as a constrained optimization ...
    • The 3D Motorcycle Complex for Structured Volume Decomposition 

      Brückler, Hendrik; Gupta, Ojaswi; Mandad, Manish; Campen, Marcel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      The so-called motorcycle graph has been employed in recent years for various purposes in the context of structured and aligned block decomposition of 2D shapes and 2-manifold surfaces. Applications are in the fields of ...
    • Dynamic Combination of Crowd Steering Policies Based on Context 

      Cabrero-Daniel, Beatriz; Marques, Ricardo; Hoyet, Ludovic; Pettré, Julien; Blat, Josep (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Simulating crowds requires controlling a very large number of trajectories of characters and is usually performed using crowd steering algorithms. The question of choosing the right algorithm with the right parameter values ...
    • 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 ...
    • OutCast: Outdoor Single-image Relighting with Cast Shadows 

      Griffiths, David; Ritschel, Tobias; Philip, Julien (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose a relighting method for outdoor images. Our method mainly focuses on predicting cast shadows in arbitrary novel lighting directions from a single image while also accounting for shading and global effects such ...
    • MaterIA: Single Image High-Resolution Material Capture in the Wild 

      Martin, Rosalie; Roullier, Arthur; Rouffet, Romain; Kaiser, Adrien; Boubekeur, Tamy (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose a hybrid method to reconstruct a physically-based spatially varying BRDF from a single high resolution picture of an outdoor surface captured under natural lighting conditions with any kind of camera device. ...
    • MoCo-Flow: Neural Motion Consensus Flow for Dynamic Humans in Stationary Monocular Cameras 

      Chen, Xuelin; Li, Weiyu; Cohen-Or, Daniel; Mitra, Niloy J.; Chen, Baoquan (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Synthesizing novel views of dynamic humans from stationary monocular cameras is a specialized but desirable setup. This is particularly attractive as it does not require static scenes, controlled environments, or specialized ...
    • CAST: Character labeling in Animation using Self-supervision by Tracking 

      Nir, Oron; Rapoport, Gal; Shamir, Ariel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Cartoons and animation domain videos have very different characteristics compared to real-life images and videos. In addition, this domain carries a large variability in styles. Current computer vision and deep-learning ...
    • Compact Facial Landmark Layouts for Performance Capture 

      Zell, Eduard; McDonnell, Rachel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      An abundance of older, as well as recent work exists at the intersection of computer vision and computer graphics on accurate estimation of dynamic facial landmarks with applications in facial animation, emotion recognition, ...
    • Interactive Editing of Discrete Chebyshev Nets 

      Li, Rui-Zeng; Guo, Jia-Peng; Wang, Qi; Chai, Shuangming; Liu, Ligang; Fu, Xiao-Ming (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose an interactive method to edit a discrete Chebyshev net, which is a quad mesh with edges of the same length. To ensure that the edited mesh is always a discrete Chebyshev net, the maximum difference of all edge ...
    • 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 ...
    • Gradient Terrain Authoring 

      Guérin, Eric; Peytavie, Adrien; Masnou, Simon; Digne, Julie; Sauvage, Basile; Gain, James; Galin, Eric (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Digital terrains are a foundational element in the computer-generated depiction of natural scenes. Given the variety and complexity of real-world landforms, there is a need for authoring solutions that achieve perceptually ...
    • Learning a Self-supervised Tone Mapping Operator via Feature Contrast Masking Loss 

      Wang, Chao; Chen, Bin; Seidel, Hans-Peter; Myszkowski, Karol; Serrano, Ana (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      High Dynamic Range (HDR) content is becoming ubiquitous due to the rapid development of capture technologies. Nevertheless, the dynamic range of common display devices is still limited, therefore tone mapping (TM) remains ...
    • ZoomShop: Depth-Aware Editing of Photographic Composition 

      Liu, Sean J.; Agrawala, Maneesh; DiVerdi, Stephen; Hertzmann, Aaron (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We present ZoomShop, a photographic composition editing tool for adjusting relative size, position, and foreshortening of scene elements. Given an image and corresponding depth map as input, ZoomShop combines a novel ...
    • Learning from Shader Program Traces 

      Yang, Yuting; Barnes, Connelly; Finkelstein, Adam (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Deep learning for image processing typically treats input imagery as pixels in some color space. This paper proposes instead to learn from program traces of procedural fragment shaders - programs that generate images. At ...
    • Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers 

      Kips, Robin; Jiang, Ruowei; Ba, Sileye; Duke, Brendan; Perrot, Matthieu; Gori, Pietro; Bloch, Isabelle (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Augmented reality applications have rapidly spread across online retail platforms and social media, allowing consumers to virtually try-on a large variety of products, such as makeup, hair dying, or shoes. However, ...
    • Dressi: A Hardware-Agnostic Differentiable Renderer with Reactive Shader Packing and Soft Rasterization 

      Takimoto, Yusuke; Sato, Hiroyuki; Takehara, Hikari; Uragaki, Keishiro; Tawara, Takehiro; Liang, Xiao; Oku, Kentaro; Kishimoto, Wataru; Zheng, Bo (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Differentiable rendering (DR) enables various computer graphics and computer vision applications through gradient-based optimization with derivatives of the rendering equation. Most rasterization-based approaches are built ...
    • Progressive Denoising of Monte Carlo Rendered Images 

      Firmino, Arthur; Frisvad, Jeppe Revall; Jensen, Henrik Wann (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Image denoising based on deep learning has become a powerful tool to accelerate Monte Carlo rendering. Deep learning techniques can produce smooth images using a low sample count. Unfortunately, existing deep learning ...