Now showing items 6-25 of 57

    • Depth-Aware Shadow Removal 

      Fu, Yanping; Gai, Zhenyu; Zhao, Haifeng; Zhang, Shaojie; Shan, Ying; Wu, Yang; Tang, Jin (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Shadow removal from a single image is an ill-posed problem because shadow generation is affected by the complex interactions of geometry, albedo, and illumination. Most recent deep learning-based methods try to directly ...
    • 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 ...
    • A Drone Video Clip Dataset and its Applications in Automated Cinematography 

      Ashtari, Amirsaman; Jung, Raehyuk; Li, Mingxiao; Noh, Junyong (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Drones became popular video capturing tools. Drone videos in the wild are first captured and then edited by humans to contain aesthetically pleasing camera motions and scenes. Therefore, edited drone videos have extremely ...
    • Effective Eyebrow Matting with Domain Adaptation 

      Wang, Luyuan; Zhang, Hanyuan; Xiao, Qinjie; Xu, Hao; Shen, Chunhua; Jin, Xiaogang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We present the first synthetic eyebrow matting datasets and a domain adaptation eyebrow matting network for learning domain-robust feature representation using synthetic eyebrow matting data and unlabeled in-the-wild images ...
    • Efficient and Stable Simulation of Inextensible Cosserat Rods by a Compact Representation 

      Zhao, Chongyao; Lin, Jinkeng; Wang, Tianyu; Bao, Hujun; Huang, Jin (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Piecewise linear inextensible Cosserat rods are usually represented by Cartesian coordinates of vertices and quaternions on the segments. Such representations use excessive degrees of freedom (DOFs), and need many additional ...
    • Efficient Direct Isosurface Rasterization of Scalar Volumes 

      Kreskowski, Adrian; Rendle, Gareth; Froehlich, Bernd (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      In this paper we propose a novel and efficient rasterization-based approach for direct rendering of isosurfaces. Our method exploits the capabilities of task and mesh shader pipelines to identify subvolumes containing ...
    • Efficient Texture Parameterization Driven by Perceptual-Loss-on-Screen 

      Sun, Haoran; Wang, Shiyi; Wu, Wenhai; Jin, Yao; Bao, Hujun; Huang, Jin (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Texture mapping is a ubiquitous technique to enrich the visual effect of a mesh, which represents the desired signal (e.g. diffuse color) on the mesh to a texture image discretized by pixels through a bijective parameterization. ...
    • EL-GAN: Edge-Enhanced Generative Adversarial Network for Layout-to-Image Generation 

      Gao, Lin; Wu, Lei; Meng, Xiangxu (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Although some progress has been made in the layout-to-image generation of complex scenes with multiple objects, object-level generation still suffers from distortion and poor recognizability. We argue that this is caused ...
    • 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 ...
    • Eye-Tracking-Based Prediction of User Experience in VR Locomotion Using Machine Learning 

      Gao, Hong; Kasneci, Enkelejda (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      VR locomotion is one of the most important design features of VR applications and is widely studied. When evaluating locomotion techniques, user experience is usually the first consideration, as it provides direct insights ...
    • Fine-Grained Memory Profiling of GPGPU Kernels 

      Buelow, Max von; Guthe, Stefan; Fellner, Dieter W. (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Memory performance is a crucial bottleneck in many GPGPU applications, making optimizations for hardware and software mandatory. While hardware vendors already use highly efficient caching architectures, software engineers ...
    • Fine-Grained Scene Graph Generation with Overlap Region and Geometrical Center 

      Zhao, Yong Qiang; Jin, Zhi; Zhao, Hai Yan; Zhang, Feng; Tao, Zheng Wei; Dou, Cheng Feng; Xu, Xin Hai; Liu, Dong Hong (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Scene graph generation refers to the task of identifying the objects and specifically the relationships between the objects from an image. Existing scene graph generation methods generally use the bounding boxes region ...
    • 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 ...