Now showing items 22-41 of 41

    • 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 ...
    • 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 ...
    • Learning Spectral Unions of Partial Deformable 3D Shapes 

      Moschella, Luca; Melzi, Simone; Cosmo, Luca; Maggioli, Filippo; Litany, Or; Ovsjanikov, Maks; Guibas, Leonidas; Rodolà, Emanuele (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Spectral geometric methods have brought revolutionary changes to the field of geometry processing. Of particular interest is the study of the Laplacian spectrum as a compact, isometry and permutation-invariant representation ...
    • 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. ...
    • Meshlets and How to Shade Them: A Study on Texture-Space Shading 

      Neff, Thomas; Mueller, Joerg H.; Steinberger, Markus; Schmalstieg, Dieter (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Commonly used image-space layouts of shading points, such as used in deferred shading, are strictly view-dependent, which restricts efficient caching and temporal amortization. In contrast, texture-space layouts can represent ...
    • 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 ...
    • N-Cloth: Predicting 3D Cloth Deformation with Mesh-Based Networks 

      Li, Yu Di; Tang, Min; Yang, Yun; Huang, Zi; Tong, Ruo Feng; Yang, Shuang Cai; Li, Yao; Manocha, Dinesh (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We present a novel mesh-based learning approach (N-Cloth) for plausible 3D cloth deformation prediction. Our approach is general and can handle cloth or obstacles represented by triangle meshes with arbitrary topologies.We ...
    • Neural Precomputed Radiance Transfer 

      Rainer, Gilles; Bousseau, Adrien; Ritschel, Tobias; Drettakis, George (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Recent advances in neural rendering indicate immense promise for architectures that learn light transport, allowing efficient rendering of global illumination effects once such methods are trained. The training phase of ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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, ...
    • Recursive Analytic Spherical Harmonics Gradient for Spherical Lights 

      Mézières, Pierre; Mellado, Nicolas; Barthe, Loïc; Paulin, Mathias (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      When rendering images using Spherical Harmonics (SH), the projection of a spherical function on the SH basis remains a computational challenge both for high-frequency functions and for emission functions from complex light ...
    • 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 ...
    • 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 ...
    • Vectorizing Line Drawings of Arbitrary Thickness via Boundary-based Topology Reconstruction 

      Zhang, Zibo; Liu, Xueting; Li, Chengze; Wu, Huisi; Wen, Zhenkun (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Vectorization is a commonly used technique for converting raster images to vector format and has long been a research focus in computer graphics and vision. While a number of attempts have been made to extract the topology ...
    • Volumetric Multi-View Rendering 

      Fraboni, Basile; Webanck, Antoine; Bonneel, Nicolas; Iehl, Jean-Claude (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Rendering photo-realistic images using Monte Carlo path tracing often requires sampling a large number of paths to reach acceptable levels of noise. This is particularly the case when rendering participating media, that ...
    • Worst-Case Rigidity Analysis and Optimization for Assemblies with Mechanical Joints 

      Liu, Zhenyuan; Hu, Jingyu; Xu, Hao; Song, Peng; Zhang, Ran; Bickel, Bernd; Fu, Chi-Wing (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We study structural rigidity for assemblies with mechanical joints. Existing methods identify whether an assembly is structurally rigid by assuming parts are perfectly rigid. Yet, an assembly identified as rigid may not ...
    • Z2P: Instant Visualization of Point Clouds 

      Metzer, Gal; Hanocka, Rana; Giryes, Raja; Mitra, Niloy J.; Cohen-Or, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We present a technique for visualizing point clouds using a neural network. Our technique allows for an instant preview of any point cloud, and bypasses the notoriously difficult surface reconstruction problem or the need ...
    • 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 ...