Now showing items 41-60 of 75

    • Physically-Based Lighting for 3D Generative Models of Cars 

      Violante, Nicolas; Gauthier, Alban; Diolatzis, Stavros; Leimkühler, Thomas; Drettakis, George (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Recent work has demonstrated that Generative Adversarial Networks (GANs) can be trained to generate 3D content from 2D image collections, by synthesizing features for neural radiance field rendering. However, most such ...
    • SENS: Part-Aware Sketch-based Implicit Neural Shape Modeling 

      Binninger, Alexandre; Hertz, Amir; Sorkine-Hornung, Olga; Cohen-Or, Daniel; Giryes, Raja (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      We present SENS, a novel method for generating and editing 3D models from hand-drawn sketches, including those of abstract nature. Our method allows users to quickly and easily sketch a shape, and then maps the sketch into ...
    • Real-Time Neural Materials using Block-Compressed Features 

      Weinreich, Clément; Oliveira, Louis De; Houdard, Antoine; Nader, Georges (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Neural materials typically consist of a collection of neural features along with a decoder network. The main challenge in integrating such models in real-time rendering pipelines lies in the large size required to store ...
    • Real-time Neural Rendering of Dynamic Light Fields 

      Coomans, Arno; Dominici, Edoardo Alberto; Döring, Christian; Mueller, Joerg H.; Hladky, Jozef; Steinberger, Markus (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Synthesising high-quality views of dynamic scenes via path tracing is prohibitively expensive. Although caching offline-quality global illumination in neural networks alleviates this issue, existing neural view synthesis ...
    • TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering 

      Franke, Linus; Rückert, Darius; Fink, Laura; Stamminger, Marc (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Point-based radiance field rendering has demonstrated impressive results for novel view synthesis, offering a compelling blend of rendering quality and computational efficiency. However, also latest approaches in this ...
    • Strokes2Surface: Recovering Curve Networks From 4D Architectural Design Sketches 

      Rasoulzadeh, Shervin; Wimmer, Michael; Stauss, Philipp; Kovacic, Iva (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      We present Strokes2Surface, an offline geometry reconstruction pipeline that recovers well-connected curve networks from imprecise 4D sketches to bridge concept design and digital modeling stages in architectural design. ...
    • Hierarchical Co-generation of Parcels and Streets in Urban Modeling 

      Chen, Zebin; Song, Peng; Ortner, F. Peter (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      We present a computational framework for modeling land parcels and streets. In the real world, parcels and streets are highly coupled with each other since a street network connects all the parcels in a certain area. ...
    • PossibleImpossibles: Exploratory Procedural Design of Impossible Structures 

      Li, Yuanbo; Ma, Tianyi; Aljumayaat, Zaineb; Ritchie, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      We present a method for generating structures in three-dimensional space that appear to be impossible when viewed from specific perspectives. Previous approaches focus on helping users to edit specific structures and require ...
    • Single-Image SVBRDF Estimation with Learned Gradient Descent 

      Luo, Xuejiao; Scandolo, Leonardo; Bousseau, Adrien; Eisemann, Elmar (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Recovering spatially-varying materials from a single photograph of a surface is inherently ill-posed, making the direct application of a gradient descent on the reflectance parameters prone to poor minima. Recent methods ...
    • Interactive Exploration of Vivid Material Iridescence based on Bragg Mirrors 

      Fourneau, Gary; Pacanowski, Romain; Barla, Pascal (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Many animals, plants or gems exhibit iridescent material appearance in nature. These are due to specific geometric structures at scales comparable to visible wavelengths, yielding so-called structural colors. The most vivid ...
    • Raster-to-Graph: Floorplan Recognition via Autoregressive Graph Prediction with an Attention Transformer 

      Hu, Sizhe; Wu, Wenming; Su, Ruolin; Hou, Wanni; Zheng, Liping; Xu, Benzhu (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Recognizing the detailed information embedded in rasterized floorplans is at the research forefront in the community of computer graphics and vision. With the advent of deep neural networks, automatic floorplan recognition ...
    • HaLo-NeRF: Learning Geometry-Guided Semantics for Exploring Unconstrained Photo Collections 

      Dudai, Chen; Alper, Morris; Bezalel, Hana; Hanocka, Rana; Lang, Itai; Averbuch-Elor, Hadar (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      Internet image collections containing photos captured by crowds of photographers show promise for enabling digital exploration of large-scale tourist landmarks. However, prior works focus primarily on geometric reconstruction ...
    • Neural Semantic Surface Maps 

      Morreale, Luca; Aigerman, Noam; Kim, Vladimir G.; Mitra, Niloy J. (The Eurographics Association and John Wiley & Sons Ltd., 2024)
      We present an automated technique for computing a map between two genus-zero shapes, which matches semantically corresponding regions to one another. Lack of annotated data prohibits direct inference of 3D semantic priors; ...
    • EUROGRAPHICS 2024: CGF 43-2 Frontmatter 

      Bermano, Amit H.; Kalogerakis, Evangelos (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    • Neural Path Sampling for Rendering Pure Specular Light Transport 

      Yu, Rui; Dong, Yue; Kong, Youkang; Tong, Xin (© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2024)
      Multi‐bounce, pure specular light paths produce complex lighting effects, such as caustics and sparkle highlights, which are challenging to render due to their sparse and diverse nature. We introduce a learning‐based method ...
    • PPSurf: Combining Patches and Point Convolutions for Detailed Surface Reconstruction 

      Erler, Philipp; Fuentes‐Perez, Lizeth; Hermosilla, Pedro; Guerrero, Paul; Pajarola, Renato; Wimmer, Michael (© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2024)
      3D surface reconstruction from point clouds is a key step in areas such as content creation, archaeology, digital cultural heritage and engineering. Current approaches either try to optimize a non‐data‐driven surface ...
    • Quad Mesh Quantization Without a T‐Mesh 

      Coudert‐Osmont, Yoann; Desobry, David; Heistermann, Martin; Bommes, David; Ray, Nicolas; Sokolov, Dmitry (© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2024)
      Grid preserving maps of triangulated surfaces were introduced for quad meshing because the 2D unit grid in such maps corresponds to a sub‐division of the surface into quad‐shaped charts. These maps can be obtained by solving ...
    • Auxiliary Features‐Guided Super Resolution for Monte Carlo Rendering 

      Hou, Qiqi; Liu, Feng (© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2024)
      This paper investigates super‐resolution to reduce the number of pixels to render and thus speed up Monte Carlo rendering algorithms. While great progress has been made to super‐resolution technologies, it is essentially ...
    • Advances in Data‐Driven Analysis and Synthesis of 3D Indoor Scenes 

      Patil, Akshay Gadi; Patil, Supriya Gadi; Li, Manyi; Fisher, Matthew; Savva, Manolis; Zhang, Hao (© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2024)
      This report surveys advances in deep learning‐based modelling techniques that address four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We describe different kinds of representations ...
    • Guided Exploration of Industrial Sensor Data 

      Langer, Tristan; Meyes, Richard; Meisen, Tobias (© 2024 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd., 2024)
      In recent years, digitization in the industrial sector has increased steadily. Digital data not only allows us to monitor the underlying production process using machine learning methods (anomaly detection, behaviour ...