Now showing items 1-20 of 70

    • Global Texture Mapping for Dynamic Objects 

      Kim, Jungeon; Kim, Hyomin; Park, Jaesik; Lee, Seungyong (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose a novel framework to generate a global texture atlas for a deforming geometry. Our approach distinguishes from prior arts in two aspects. First, instead of generating a texture map for each timestamp to color a ...
    • Learning to Predict Image-based Rendering Artifacts with Respect to a Hidden Reference Image 

      Bemana, Mojtaba; Keinert, Joachim; Myszkowski, Karol; Bätz, Michel; Ziegler, Matthias; Seidel, Hans-Peter; Ritschel, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Image metrics predict the perceived per-pixel difference between a reference image and its degraded (e. g., re-rendered) version. In several important applications, the reference image is not available and image metrics ...
    • Computing Surface PolyCube-Maps by Constrained Voxelization 

      Yang, Yang; Fu, Xiao-Ming; Liu, Ligang (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a novel method to compute bijective PolyCube-maps with low isometric distortion. Given a surface and its preaxis- aligned shape that is not an exact PolyCube shape, the algorithm contains two steps: (i) construct ...
    • Anisotropic Surface Remeshing without Obtuse Angles 

      Xu, Qun-Ce; Yan, Dong-Ming; Li, Wenbin; Yang, Yong-Liang (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a novel anisotropic surface remeshing method that can efficiently eliminate obtuse angles. Unlike previous work that can only suppress obtuse angles with expensive resampling and Lloyd-type iterations, our method ...
    • Shadow Inpainting and Removal Using Generative Adversarial Networks with Slice Convolutions 

      Wei, Jinjiang; Long, Chengjiang; Zou, Hua; Xiao, Chunxia (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper, we propose a two-stage top-down and bottom-up Generative Adversarial Networks (TBGANs) for shadow inpainting and removal which uses a novel top-down encoder and a bottom-up decoder with slice convolutions. ...
    • Reliable Rolling-guided Point Normal Filtering for Surface Texture Removal 

      Sun, Yangxing; Chen, Honghua; Qin, Jing; Li, Hongwei; Wei, Mingqiang; Zong, Hua (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Semantic surface decomposition (SSD) facilitates various geometry processing and product re-design tasks. Filter-based techniques are meaningful and widely used to achieve the SSD, which however often leads to surface ...
    • Learning Style Compatibility Between Objects in a Real-World 3D Asset Database 

      Liu, Yifan; Tang, Ruolan; Ritchie, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Large 3D asset databases are critical for designing virtual worlds, and using them effectively requires techniques for efficient querying and navigation. One important form of query is search by style compatibility: given ...
    • Interactive Curation of Datasets for Training and Refining Generative Models 

      Ye, Wenjie; Dong, Yue; Peers, Pieter (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a novel interactive learning-based method for curating datasets using user-defined criteria for training and refining Generative Adversarial Networks. We employ a novel batch-mode active learning strategy to ...
    • Deep Line Drawing Vectorization via Line Subdivision and Topology Reconstruction 

      Guo, Yi; Zhang, Zhuming; Han, Chu; Hu, Wenbo; Li, Chengze; Wong, Tien-Tsin (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Vectorizing line drawing is necessary for the digital workflows of 2D animation and engineering design. But it is challenging due to the ambiguity of topology, especially at junctions. Existing vectorization methods either ...
    • HidingGAN: High Capacity Information Hiding with Generative Adversarial Network 

      Wang, Zihan; Gao, Neng; Wang, Xin; Xiang, Ji; Zha, Daren; Li, Linghui (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Image steganography is the technique of hiding secret information within images. It is an important research direction in the security field. Benefitting from the rapid development of deep neural networks, many steganographic ...
    • Deep Video-Based Performance Synthesis from Sparse Multi-View Capture 

      Chen, Mingjia; Wang, Changbo; Liu, Ligang (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a deep learning based technique that enables novel-view videos of human performances to be synthesized from sparse multi-view captures. While performance capturing from a sparse set of videos has received ...
    • A Color-Pair Based Approach for Accurate Color Harmony Estimation 

      Yang, Bailin; Wei, Tianxiang; Fang, Xianyong; Deng, Zhigang; Li, Frederick W. B.; Ling, Yun; Wang, Xun (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Harmonious color combinations can stimulate positive user emotional responses. However, a widely open research question is: how can we establish a robust and accurate color harmony measure for the public and professional ...
    • Intrinsic Symmetry Detection on 3D Models with Skeleton-guided Combination of Extrinsic Symmetries 

      Wang, Wencheng; Ma, Junhui; Xu, Panpan; Chu, Yiyao (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The existing methods for intrinsic symmetry detection on 3D models always need complex measures such as geodesic distances for describing intrinsic geometry and statistical computation for finding non-rigid transformations ...
    • Generating 3D Faces using Multi-column Graph Convolutional Networks 

      Li, Kun; Liu, Jingying; Lai, Yu-Kun; Yang, Jingyu (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this work, we introduce multi-column graph convolutional networks (MGCNs), a deep generative model for 3D mesh surfaces that effectively learns a non-linear facial representation. We perform spectral decomposition of ...
    • Specular Highlight Removal for Real-world Images 

      Fu, Gang; Zhang, Qing; Song, Chengfang; Lin, Qifeng; Xiao, Chunxia (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Removing specular highlight in an image is a fundamental research problem in computer vision and computer graphics. While various methods have been proposed, they typically do not work well for real-world images due to the ...
    • Towards Robust Direction Invariance in Character Animation 

      Ma, Li-Ke; Yang, Zeshi; Guo, Baining; Yin, KangKang (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In character animation, direction invariance is a desirable property. That is, a pose facing north and the same pose facing south are considered the same; a character that can walk to the north is expected to be able to ...
    • Pencil Drawing Video Rendering Using Convolutional Networks 

      Yan, Dingkun; Sheng, Yun; Mao, Xiaoyang (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Traditional pencil drawing rendering algorithms when applied to video may suffer from temporal inconsistency and showerdoor effect due to the stochastic noise models employed. This paper attempts to resolve these problems ...
    • Scale-adaptive Structure-preserving Texture Filtering 

      Song, Chengfang; Xiao, Chunxia; Lei, Ling; Sui, Haigang (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      This paper proposes a scale-adaptive filtering method to improve the performance of structure-preserving texture filtering for image smoothing. With classical texture filters, it usually is challenging to smooth texture ...
    • Topology Preserving Simplification of Medial Axes in 3D Models 

      Chu, Yiyao; Hou, Fei; Wang, Wencheng; Li, Lei (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose an efficient method for topology-preserving simplification of medial axes of 3D models. Existing methods either cannot preserve the topology during medial axes simplification or have the problem of being ...
    • Imitating Popular Photos to Select Views for an Indoor Scene 

      Su, Rung-De; Liao, Zhe-Yo; Chen, Li-Chi; Tung, Ai-Ling; Wang, Yu-Shuen (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Selecting informative and visually appealing views for 3D indoor scenes is beneficial for the housing, decoration, and entertainment industries. A set of views that exhibit comfort, aesthetics, and functionality of a ...