Now showing items 81-100 of 267

    • 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. ...
    • SCA 2022 CGF 41-8: Frontmatter 

      Dominik L. Michels; Soeren Pirk (The Eurographics Association and John Wiley & Sons Ltd., 2022)
    • Interaction Mix and Match: Synthesizing Close Interaction using Conditional Hierarchical GAN with Multi-Hot Class Embedding 

      Goel, Aman; Men, Qianhui; Ho, Edmond S. L. (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Synthesizing multi-character interactions is a challenging task due to the complex and varied interactions between the characters. In particular, precise spatiotemporal alignment between characters is required in generating ...
    • MP-NeRF: Neural Radiance Fields for Dynamic Multi-person synthesis from Sparse Views 

      Chao, Xian Jin; Leung, Howard (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Multi-person novel view synthesis aims to generate free-viewpoint videos for dynamic scenes of multiple persons. However, current methods require numerous views to reconstruct a dynamic person and only achieve good performance ...
    • Context-based Style Transfer of Tokenized Gestures 

      Kuriyama, Shigeru; Mukai, Tomohiko; Taketomi, Takafumi; Mukasa, Tomoyuki (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Gestural animations in the amusement or entertainment field often require rich expressions; however, it is still challenging to synthesize characteristic gestures automatically. Although style transfer based on a neural ...
    • PERGAMO: Personalized 3D Garments from Monocular Video 

      Casado-Elvira, Andrés; Comino Trinidad, Marc; Casas, Dan (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Clothing plays a fundamental role in digital humans. Current approaches to animate 3D garments are mostly based on realistic physics simulation, however, they typically suffer from two main issues: high computational ...
    • Learning Physics with a Hierarchical Graph Network 

      Chentanez, Nuttapong; Jeschke, Stefan; Müller, Matthias; Macklin, Miles (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose a hierarchical graph for learning physics and a novel way to handle obstacles. The finest level of the graph consist of the particles itself. Coarser levels consist of the cells of sparse grids with successively ...
    • Detailed Eye Region Capture and Animation 

      Kerbiriou, Glenn; Marchal, Maud; Avril, Quentin (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Even if the appearance and geometry of the human eye have been extensively studied during the last decade, the geometrical correlation between gaze direction, eyelids aperture and eyelids shape has not been empirically ...
    • Facial Animation with Disentangled Identity and Motion using Transformers 

      Chandran, Prashanth; Zoss, Gaspard; Gross, Markus; Gotardo, Paulo; Bradley, Derek (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose a 3D+time framework for modeling dynamic sequences of 3D facial shapes, representing realistic non-rigid motion during a performance. Our work extends neural 3D morphable models by learning a motion manifold ...
    • Voice2Face: Audio-driven Facial and Tongue Rig Animations with cVAEs 

      Villanueva Aylagas, Monica; Anadon Leon, Hector; Teye, Mattias; Tollmar, Konrad (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We present Voice2Face: a Deep Learning model that generates face and tongue animations directly from recorded speech. Our approach consists of two steps: a conditional Variational Autoencoder generates mesh animations from ...
    • Monocular Facial Performance Capture Via Deep Expression Matching 

      Bailey, Stephen W.; Riviere, Jérémy; Mikkelsen, Morten; O'Brien, James F. (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Facial performance capture is the process of automatically animating a digital face according to a captured performance of an actor. Recent developments in this area have focused on high-quality results using expensive ...
    • Tiled Characteristic Maps for Tracking Detailed Liquid Surfaces 

      Narita, Fumiya; Ando, Ryoichi (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We introduce tiled characteristic maps for level set method that accurately preserves both thin sheets and sharp edges over a long period of time. Instead of resorting to high-order differential schemes, we utilize the ...