Now showing items 18-37 of 57

    • Generative Deformable Radiance Fields for Disentangled Image Synthesis of Topology-Varying Objects 

      Wang, Ziyu; Deng, Yu; Yang, Jiaolong; Yu, Jingyi; Tong, Xin (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      3D-aware generative models have demonstrated their superb performance to generate 3D neural radiance fields (NeRF) from a collection of monocular 2D images even for topology-varying object categories. However, these methods ...
    • Implicit Neural Deformation for Sparse-View Face Reconstruction 

      Li, Moran; Huang, Haibin; Zheng, Yi; Li, Mengtian; Sang, Nong; Ma, Chongyang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      In this work, we present a new method for 3D face reconstruction from sparse-view RGB images. Unlike previous methods which are built upon 3D morphable models (3DMMs) with limited details, we leverage an implicit representation ...
    • Joint Hand and Object Pose Estimation from a Single RGB Image using High-level 2D Constraints 

      Song, Hao-Xuan; Mu, Tai-Jiang; Martin, Ralph R. (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Joint pose estimation of human hands and objects from a single RGB image is an important topic for AR/VR, robot manipulation, etc. It is common practice to determine both poses directly from the image; some recent methods ...
    • Large-Scale Worst-Case Topology Optimization 

      Zhang, Di; Zhai, Xiaoya; Fu, Xiao-Ming; Wang, Heming; Liu, Ligang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose a novel topology optimization method to efficiently minimize the maximum compliance for a high-resolution model bearing uncertain external loads. Central to this approach is a modified power method that can ...
    • Learning 3D Shape Aesthetics Globally and Locally 

      Chen, Minchan; Lau, Manfred (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      There exist previous works in computing the visual aesthetics of 3D shapes ''globally'', where the term global means that shape aesthetics data are collected for whole 3D shapes and then used to compute the aesthetics of ...
    • Learning Dynamic 3D Geometry and Texture for Video Face Swapping 

      Otto, Christopher; Naruniec, Jacek; Helminger, Leonhard; Etterlin, Thomas; Mignone, Graziana; Chandran, Prashanth; Zoss, Gaspard; Schroers, Christopher; Gross, Markus; Gotardo, Paulo; Bradley, Derek; Weber, Romann (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Face swapping is the process of applying a source actor's appearance to a target actor's performance in a video. This is a challenging visual effect that has seen increasing demand in film and television production. Recent ...
    • Learning Multi-Scale Deep Image Prior for High-Quality Unsupervised Image Denoising 

      Jiang, Hao; Zhang, Qing; Nie, Yongwei; Zhu, Lei; Zheng, Wei-Shi (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Recent methods on image denoising have achieved remarkable progress, benefiting mostly from supervised learning on massive noisy/clean image pairs and unsupervised learning on external noisy images. However, due to the ...
    • Local Offset Point Cloud Transformer Based Implicit Surface Reconstruction 

      Yang, Yan Xin; Zhang, San Guo (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Implicit neural representations, such as MLP, can well recover the topology of watertight object. However, MLP fails to recover geometric details of watertight object and complicated topology due to dealing with point cloud ...
    • MeshFormer: High-resolution Mesh Segmentation with Graph Transformer 

      Li, Yuan; He, Xiangyang; Jiang, Yankai; Liu, Huan; Tao, Yubo; Hai, Lin (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Graph transformer has achieved remarkable success in graph-based segmentation tasks. Inspired by this success, we propose a novel method named MeshFormer for applying the graph transformer to the semantic segmentation of ...
    • MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis 

      Ren, Haocheng; Zhang, Hao; Zheng, Jia; Zheng, Jiaxiang; Tang, Rui; Huo, Yuchi; Bao, Hujun; Wang, Rui (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      With the rapid development of data-driven techniques, data has played an essential role in various computer vision tasks. Many realistic and synthetic datasets have been proposed to address different problems. However, ...
    • MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale Patches 

      Huang, Anyi; Xie, Qian; Wang, Zhoutao; Lu, Dening; Wei, Mingqiang; Wang, Jun (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      The intricacy of 3D surfaces often results cutting-edge point cloud denoising (PCD) models in surface degradation including remnant noise, wrongly-removed geometric details. Although using multi-scale patches to encode the ...
    • MoMaS: Mold Manifold Simulation for Real-time Procedural Texturing 

      Maggioli, Filippo; Marin, Riccardo; Melzi, Simone; Rodolà, Emanuele (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      The slime mold algorithm has recently been under the spotlight thanks to its compelling properties studied across many disciplines like biology, computation theory, and artificial intelligence. However, existing implementations ...
    • Multirate Shading with Piecewise Interpolatory Approximation 

      Hu, Yiwei; Yuan, Yazhen; Wang, Rui; Yang, Zhuo; Bao, Hujun (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Evaluating shading functions on geometry surfaces dominates the rendering computation. A high-quality but time-consuming estimate is usually achieved with a dense sampling rate for pixels or sub-pixels. In this paper, we ...
    • NSTO: Neural Synthesizing Topology Optimization for Modulated Structure Generation 

      Zhong, Shengze; Punpongsanon, Parinya; Iwai, Daisuke; Sato, Kosuke (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Nature evolves structures like honeycombs at optimized performance with limited material. These efficient structures can be artificially created with the collaboration of structural topology optimization and additive ...
    • Occluder Generation for Buildings in Digital Games 

      Wu, Kui; He, Xu; Pan, Zherong; Gao, Xifeng (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Occlusion culling has become a prevalent method in modern game engines. It can significantly reduce the rendering cost by using an approximate coarse mesh (occluder) for culling hidden objects. An ideal occluder should use ...
    • Out-of-core Extraction of Curve Skeletons for Large Volumetric Models 

      Chu, Yiyao; Wang, Wencheng (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Existing methods for skeleton extraction have limitations in terms of the amount of memory space available, as the model must be allocated to the random access memory. This challenges the treatment of out-of-core models. ...
    • Pacific Graphics 2022 - CGF 41-7: Frontmatter 

      Umetani, Nobuyuki; Wojtan, Chris; Vouga, Etienne (The Eurographics Association and John Wiley & Sons Ltd., 2022)
    • Pixel Art Adaptation for Handicraft Fabrication 

      Igarashi, Yuki; Igarashi, Takeo (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Knitting and weaving patterns can be visually represented as pixel art. With hand knitting and weaving, human error (shifting, duplicating, or skipping pixels) can occur during manual fabrication. It is too costly to change ...
    • Point-augmented Bi-cubic Subdivision Surfaces 

      Karciauskas, Kestutis; Peters, Jorg (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Point-Augmented Subdivision (PAS) replaces complex geometry-dependent guided subdivision, known to yield high-quality surfaces, by explicit subdivision formulas that yield similarly-good limit surfaces and are easy to ...
    • Real-time Deep Radiance Reconstruction from Imperfect Caches 

      Huang, Tao; Song, Yadong; Guo, Jie; Tao, Chengzhi; Zong, Zijing; Fu, Xihao; Li, Hongshan; Guo, Yanwen (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Real-time global illumination is a highly desirable yet challenging task in computer graphics. Existing works well solving this problem are mostly based on some kind of precomputed data (caches), while the final results ...