Now showing items 41-57 of 57

    • Real-Time Video Deblurring via Lightweight Motion Compensation 

      Son, Hyeongseok; Lee, Junyong; Cho, Sunghyun; Lee, Seungyong (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      While motion compensation greatly improves video deblurring quality, separately performing motion compensation and video deblurring demands huge computational overhead. This paper proposes a real-time video deblurring ...
    • StylePortraitVideo: Editing Portrait Videos with Expression Optimization 

      Seo, Kwanggyoon; Oh, Seoung Wug; Lu, Jingwan; Lee, Joon-Young; Kim, Seonghyeon; Noh, Junyong (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      High-quality portrait image editing has been made easier by recent advances in GANs (e.g., StyleGAN) and GAN inversion methods that project images onto a pre-trained GAN's latent space. However, extending the existing image ...
    • SPCNet: Stepwise Point Cloud Completion Network 

      Hu, Fei; Chen, Honghua; Lu, Xuequan; Zhu, Zhe; Wang, Jun; Wang, Weiming; Wang, Fu Lee; Wei, Mingqiang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      How will you repair a physical object with large missings? You may first recover its global yet coarse shape and stepwise increase its local details. We are motivated to imitate the above physical repair procedure to address ...
    • USTNet: Unsupervised Shape-to-Shape Translation via Disentangled Representations 

      Wang, Haoran; Li, Jiaxin; Telea, Alexandru; Kosinka, Jirí; Wu, Zizhao (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose USTNet, a novel deep learning approach designed for learning shape-to-shape translation from unpaired domains in an unsupervised manner. The core of our approach lies in disentangled representation learning that ...
    • DiffusionPointLabel: Annotated Point Cloud Generation with Diffusion Model 

      Li, Tingting; Fu, Yunfei; Han, Xiaoguang; Liang, Hui; Zhang, Jian Jun; Chang, Jian (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Point cloud generation aims to synthesize point clouds that do not exist in supervised dataset. Generating a point cloud with certain semantic labels remains an under-explored problem. This paper proposes a formulation ...
    • 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 ...
    • Resolution-switchable 3D Semantic Scene Completion 

      Luo, Shoutong; Sun, Zhengxing; Sun, Yunhan; Wang, Yi (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Semantic scene completion (SSC) aims to recover the complete geometric structure as well as the semantic segmentation results from partial observations. Previous works could only perform this task at a fixed resolution. ...
    • 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 ...
    • UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration 

      Chen, Zhilei; Chen, Honghua; Gong, Lina; Yan, Xuefeng; Wang, Jun; Guo, Yanwen; Qin, Jing; Wei, Mingqiang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      High-confidence overlap prediction and accurate correspondences are critical for cutting-edge models to align paired point clouds in a partial-to-partial manner. However, there inherently exists uncertainty between the ...
    • Exploring Contextual Relationships in 3D Cloud Points by Semantic Knowledge Mining 

      Chen, Lianggangxu; Lu, Jiale; Cai, Yiqing; Wang, Changbo; He, Gaoqi (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      3D scene graph generation (SGG) aims to predict the class of objects and predicates simultaneously in one 3D point cloud scene with instance segmentation. Since the underlying semantic of 3D point clouds is spatial ...
    • 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, ...
    • WTFM Layer: An Effective Map Extractor for Unsupervised Shape Correspondence 

      Liu, Shengjun; Xu, Haojun; Yan, Dong-Ming; Hu, Ling; Liu, Xinru; Li, Qinsong (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose a novel unsupervised learning approach for computing correspondences between non-rigid 3D shapes. The core idea is that we integrate a novel structural constraint into the deep functional map pipeline, a recently ...
    • 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 ...
    • SIGDT: 2D Curve Reconstruction 

      Marin, Diana; Ohrhallinger, Stefan; Wimmer, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Determining connectivity between points and reconstructing their shape boundaries are long-standing problems in computer graphics. One possible approach to solve these problems is to use a proximity graph. We propose a new ...
    • 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 ...
    • Pacific Graphics 2022 - CGF 41-7: Frontmatter 

      Umetani, Nobuyuki; Wojtan, Chris; Vouga, Etienne (The Eurographics Association and John Wiley & Sons Ltd., 2022)
    • 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. ...