Now showing items 15-34 of 54

    • Generating High-quality Superpixels in Textured Images 

      Zhang, Zhe; Xu, Panpan; Chang, Jian; Wang, Wencheng; Zhao, Chong; Zhang, Jian Jun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Superpixel segmentation is important for promoting various image processing tasks. However, existing methods still have difficulties in generating high-quality superpixels in textured images, because they cannot separate ...
    • A Graph-based One-Shot Learning Method for Point Cloud Recognition 

      Fan, Zhaoxin; Liu, Hongyan; He, Jun; Sun, Qi; Du, Xiaoyong (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Point cloud based 3D vision tasks, such as 3D object recognition, are critical to many real world applications such as autonomous driving. Many point cloud processing models based on deep learning have been proposed by ...
    • Human Pose Transfer by Adaptive Hierarchical Deformation 

      Zhang, Jinsong; Liu, Xingzi; Li, Kun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Human pose transfer, as a misaligned image generation task, is very challenging. Existing methods cannot effectively utilize the input information, which often fail to preserve the style and shape of hair and clothes. In ...
    • Image-Driven Furniture Style for Interactive 3D Scene Modeling 

      Weiss, Tomer; Yildiz, Ilkay; Agarwal, Nitin; Ataer-Cansizoglu, Esra; Choi, Jae-Woo (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Creating realistic styled spaces is a complex task, which involves design know-how for what furniture pieces go well together. Interior style follows abstract rules involving color, geometry and other visual elements. ...
    • InstanceFusion: Real-time Instance-level 3D Reconstruction Using a Single RGBD Camera 

      Lu, Feixiang; Peng, Haotian; Wu, Hongyu; Yang, Jun; Yang, Xinhang; Cao, Ruizhi; Zhang, Liangjun; Yang, Ruigang; Zhou, Bin (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We present InstanceFusion, a robust real-time system to detect, segment, and reconstruct instance-level 3D objects of indoor scenes with a hand-held RGBD camera. It combines the strengths of deep learning and traditional ...
    • Interactive Design and Preview of Colored Snapshots of Indoor Scenes 

      Fu, Qiang; Yan, Hai; Fu, Hongbo; Li, Xueming (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      This paper presents an interactive system for quickly designing and previewing colored snapshots of indoor scenes. Different from high-quality 3D indoor scene rendering, which often takes several minutes to render a ...
    • The Layerizing VoxPoint Annular Convolutional Network for 3D Shape Classification 

      Wang, Tong; Tao, Wenyuan; Own, Chung-Ming; Lou, Xiantuo; Zhao, Yuehua (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Analyzing the geometric and semantic properties of 3D point cloud data via the deep learning networks is still challenging due to the irregularity and sparsity of samplings of their geometric structures. In our study, the ...
    • Learning Elastic Constitutive Material and Damping Models 

      Wang, Bin; Deng, Yuanmin; Kry, Paul; Ascher, Uri; Huang, Hui; Chen, Baoquan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Commonly used linear and nonlinear constitutive material models in deformation simulation contain many simplifications and only cover a tiny part of possible material behavior. In this work we propose a framework for ...
    • Learning Target-Adaptive Correlation Filters for Visual Tracking 

      She, Ying; Yi, Yang; Gu, Jialiang (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Correlation filters (CF) achieve excellent performance in visual tracking but suffer from undesired boundary effects. A significant amount of approaches focus on enlarging search regions to make up for this shortcoming. ...
    • Memory-Efficient Bijective Parameterizations of Very-Large-Scale Models 

      Ye, Chunyang; Su, Jian-Ping; Liu, Ligang; Fu, Xiao-Ming (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      As high-precision 3D scanners become more and more widespread, it is easy to obtain very-large-scale meshes containing at least millions of vertices. However, processing these very-large-scale meshes is still a very ...
    • Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering 

      Wang, Min; Qiu, Feng; Liu, Wentao; Qian, Chen; Zhou, Xiaowei; Ma, Lizhuang (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Superior human pose and shape reconstruction from monocular images depends on removing the ambiguities caused by occlusions and shape variance. Recent works succeed in regression-based methods which estimate parametric ...
    • A Multi-Person Selfie System via Augmented Reality 

      Lin, Jie; Yang, Chuan-Kai (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      The limited length of a selfie stick always poses the problem of distortion in a selfie, in spite of the prevalence of selfie stick in recent years.We propose a technique, based on modifying existing augmented reality ...
    • Multi-scale Information Assembly for Image Matting 

      Qiao, Yu; Liu, Yuhao; Zhu, Qiang; Yang, Xin; Wang, Yuxin; Zhang, Qiang; Wei, Xiaopeng (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Image matting is a long-standing problem in computer graphics and vision, mostly identified as the accurate estimation of the foreground in input images.We argue that the foreground objects can be represented by different-level ...
    • Next Event Estimation++: Visibility Mapping for Efficient Light Transport Simulation 

      Guo, Jerry Jinfeng; Eisemann, Martin; Eisemann, Elmar (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Monte-Carlo rendering requires determining the visibility between scene points as the most common and compute intense operation to establish paths between camera and light source. Unfortunately, many tests reveal occlusions ...
    • Not All Areas Are Equal: A Novel Separation-Restoration-Fusion Network for Image Raindrop Removal 

      Ren, Dongdong; Li, Jinbao; Han, Meng; Shu, Minglei (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Detecting and removing raindrops from an image while keeping the high quality of image details has attracted tremendous studies, but remains a challenging task due to the inhomogeneity of the degraded region and the ...
    • A Novel Plastic Phase-Field Method for Ductile Fracture with GPU Optimization 

      Zhao, Zipeng; Huang, Kemeng; Li, Chen; Wang, Changbo; Qin, Hong (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      efficiently simulate ductile fracture with GPU optimization. At the theoretical level of physically-based modeling and simulation, our PPF approach assumes the fracture sensitivity of the material increases with the plastic ...
    • An Occlusion-aware Edge-Based Method for Monocular 3D Object Tracking using Edge Confidence 

      Huang, Hong; Zhong, Fan; Sun, Yuqing; Qin, Xueying (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We propose an edge-based method for 6DOF pose tracking of rigid objects using a monocular RGB camera. One of the critical problem for edge-based methods is to search the object contour points in the image corresponding to ...
    • Pacific Graphics 2020 - CGF 39-7: Frontmatter 

      Eisemann, Elmar; Jacobson, Alec; Zhang, Fang-Lue (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    • Personalized Hand Modeling from Multiple Postures with Multi-View Color Images 

      Wang, Yangang; Rao, Ruting; Zou, Changqing (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Personalized hand models can be utilized to synthesize high quality hand datasets, provide more possible training data for deep learning and improve the accuracy of hand pose estimation. In recent years, parameterized hand ...
    • Pixel-wise Dense Detector for Image Inpainting 

      Zhang, Ruisong; Quan, Weize; Wu, Baoyuan; Li, Zhifeng; Yan, Dong-Ming (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Recent GAN-based image inpainting approaches adopt an average strategy to discriminate the generated image and output a scalar, which inevitably lose the position information of visual artifacts. Moreover, the adversarial ...