Now showing items 1-20 of 231

    • Manhattan-world Urban Building Reconstruction by Fitting Cubes 

      He, Zhenbang; Wang, Yunhai; Cheng, Zhanglin (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      The Manhattan-world building is a kind of dominant scene in urban areas. Many existing methods for reconstructing such scenes are either vulnerable to noisy and incomplete data or suffer from high computational complexity. ...
    • Synthesizing Geologically Coherent Cave Networks 

      Paris, Axel; Guérin, Eric; Peytavie, Adrien; Collon, Pauline; Galin, Eric (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We present a geologically-based method to generate complex karstic networks. Karsts are a type of landscape formed by the dissolution of highly soluble rocks (generally limestones). In particular, they are characterized ...
    • UprightRL: Upright Orientation Estimation of 3D Shapes via Reinforcement Learning 

      Chen, Luanmin; Xu, Juzhan; Wang, Chuan; Huang, Haibin; Huang, Hui; Hu, Ruizhen (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      In this paper, we study the problem of 3D shape upright orientation estimation from the perspective of reinforcement learning, i.e. we teach a machine (agent) to orientate 3D shapes step by step to upright given its current ...
    • Interactive Analysis of CNN Robustness 

      Sietzen, Stefan; Lechner, Mathias; Borowski, Judy; Hasani, Ramin; Waldner, Manuela (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      While convolutional neural networks (CNNs) have found wide adoption as state-of-the-art models for image-related tasks, their predictions are often highly sensitive to small input perturbations, which the human vision is ...
    • Egocentric Network Exploration for Immersive Analytics 

      Sorger, Johannes; Arleo, Alessio; Kán, Peter; Knecht, Wolfgang; Waldner, Manuela (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      To exploit the potential of immersive network analytics for engaging and effective exploration, we promote the metaphor of ''egocentrism'', where data depiction and interaction are adapted to the perspective of the user ...
    • A Motion-guided Interface for Modeling 3D Multi-functional Furniture 

      Chen, Minchan; Lau, Manfred (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      While non-expert 3D design systems are helpful for performing conceptual design, most existing works focused on modeling static objects. However, the 3D modeling interfaces can include more interactions between the user ...
    • Write-An-Animation: High-level Text-based Animation Editing with Character-Scene Interaction 

      Zhang, Jia-Qi; Xu, Xiang; Shen, Zhi-Meng; Huang, Ze-Huan; Zhao, Yang; Cao, Yan-Pei; Wan, Pengfei; Wang, Miao (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      3D animation production for storytelling requires essential manual processes of virtual scene composition, character creation, and motion editing, etc. Although professional artists can favorably create 3D animations using ...
    • Relighting Humans in the Wild: Monocular Full-Body Human Relighting with Domain Adaptation 

      Tajima, Daichi; Kanamori, Yoshihiro; Endo, Yuki (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      The modern supervised approaches for human image relighting rely on training data generated from 3D human models. However, such datasets are often small (e.g., Light Stage data with a small number of individuals) or limited ...
    • Seamless Satellite-image Synthesis 

      Zhu, Jialin; Kelly, Tom (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We introduce Seamless Satellite-image Synthesis (SSS), a novel neural architecture to create scale-and-space continuous satellite textures from cartographic data. While 2D map data is cheap and easily synthesized, accurate ...
    • Luminance Attentive Networks for HDR Image and Panorama Reconstruction 

      Yu, Hanning; Liu, Wentao; Long, Chengjiang; Dong, Bo; Zou, Qin; Xiao, Chunxia (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      It is very challenging to reconstruct a high dynamic range (HDR) from a low dynamic range (LDR) image as an ill-posed problem. This paper proposes a luminance attentive network named LANet for HDR reconstruction from a ...
    • Real-time Denoising Using BRDF Pre-integration Factorization 

      Zhuang, Tao; Shen, Pengfei; Wang, Beibei; Liu, Ligang (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Path tracing has been used for real-time renderings, thanks to the powerful GPU device. Unfortunately, path tracing produces noisy rendered results, thus, filtering or denoising is often applied as a post-process to remove ...
    • Optimizing Ray Tracing of Trimmed NURBS Surfaces on the GPU 

      Sloup, Jaroslav; Havran, Vlastimil (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      The representation of geometric models by trimmed NURBS surfaces has become a standard in the CAD industry. In CAD applications, the rendering of surfaces is usually solved by tessellation followed up by z-buffer rendering. ...
    • Z-Thickness Blending: Effective Fragment Merging for Multi-Fragment Rendering 

      Kim, Dongjoon; Kye, Heewon (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      An effective fragment merging technique is presented in this study that addresses multi-fragment problems, including fragment overflow and z-fighting, and provides visual effects that are beneficial for various screen-space ...
    • A Multi-pass Method for Accelerated Spectral Sampling 

      Ruit, Mark van de; Eisemann, Elmar (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Spectral Monte Carlo rendering can simulate advanced light phenomena, such as chromatic dispersion, but typically shows a slow convergence behavior. Properly sampling the spectral domain can be challenging in scenes with ...
    • Neural Sequence Transformation 

      Mukherjee, Sabyasachi; Mukherjee, Sayan; Hua, Binh-Son; Umetani, Nobuyuki; Meister, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Monte Carlo integration is a technique for numerically estimating a definite integral by stochastically sampling its integrand. These samples can be averaged to make an improved estimate, and the progressive estimates form ...
    • Consistent Post-Reconstruction for Progressive Photon Mapping 

      Choi, Hajin; Moon, Bochang (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Photon mapping is a light transport algorithm that simulates various rendering effects (e.g., caustics) robustly, and its progressive variants, progressive photon mapping (PPM) methods, can produce a biased but consistent ...
    • Geometric Sample Reweighting for Monte Carlo Integration 

      Guo, Jerry Jinfeng; Eisemann, Elmar (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Numerical integration is fundamental in multiple Monte Carlo rendering problems. We present a sample reweighting scheme, including underlying theory, and analysis of numerical performance for the integration of an unknown ...
    • A Lagrangian Particle-based Formulation for Coupled Simulation of Fracture and Diffusion in Thin Membranes 

      Han, Chengguizi; Xue, Tao; Aanjaneya, Mridul (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We propose a Lagrangian particle-based formulation for simulating deformation, fracture, and diffusion in thin membranelike structures, such as aluminium foil, rubbery films, and seaweed flakes. We integrate our model with ...
    • A Dynamic Mixture Model for Non-equilibrium Multiphase Fluids 

      Jiang, Yuntao; Lan, Yingjie (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      We present a dynamic mixture model for simulating multiphase fluids with highly dynamic relative motions. The previous mixture models assume that the multiphase fluids are under a local equilibrium condition such that the ...
    • Diverse Dance Synthesis via Keyframes with Transformer Controllers 

      Pan, Junjun; Wang, Siyuan; Bai, Junxuan; Dai, Ju (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Existing keyframe-based motion synthesis mainly focuses on the generation of cyclic actions or short-term motion, such as walking, running, and transitions between close postures. However, these methods will significantly ...