Now showing items 21-40 of 57

    • User-Controllable Latent Transformer for StyleGAN Image Layout Editing 

      Endo, Yuki (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Latent space exploration is a technique that discovers interpretable latent directions and manipulates latent codes to edit various attributes in images generated by generative adversarial networks (GANs). However, in ...
    • 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 ...
    • 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 ...
    • Real-time Deep Radiance Reconstruction from Imperfect Caches 

      Huang, Tao; Song, Yadong; Guo, Jie; Tao, Chengzhi; Zong, Zijing; Fu, Xihao; Li, Hongshan; Guo, Yanwen (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Real-time global illumination is a highly desirable yet challenging task in computer graphics. Existing works well solving this problem are mostly based on some kind of precomputed data (caches), while the final results ...
    • 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 ...
    • Ref-ZSSR: Zero-Shot Single Image Superresolution with Reference Image 

      Han, Xianjun; Wang, Xue; Wang, Huabin; Li, Xuejun; Yang, Hongyu (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Single image superresolution (SISR) has achieved substantial progress based on deep learning. Many SISR methods acquire pairs of low-resolution (LR) images from their corresponding high-resolution (HR) counterparts. Being ...
    • 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 ...
    • 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. ...
    • 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 ...
    • Classifier Guided Temporal Supersampling for Real-time Rendering 

      Guo, Yu-Xiao; Chen, Guojun; Dong, Yue; Tong, Xin (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We present a learning based temporal supersampling algorithm for real-time rendering. Different from existing learning-based approaches that adopt an end-to-end training of a 'black-box' neural network, we design a 'white-box' ...
    • 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 ...
    • 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 ...
    • 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 ...
    • A Wide Spectral Range Sky Radiance Model 

      Vévoda, Petr; Bashford-Rogers, Tom; Kolářová, Monika; Wilkie, Alexander (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Pre-computed models of sky radiance are a tool to rapidly determine incident solar irradiance in applications as diverse as movie VFX, lighting simulation for architecture, experimental biology, and flight simulators. ...
    • 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 ...
    • 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 ...
    • 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. ...
    • 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, ...
    • Semi-MoreGAN: Semi-supervised Generative Adversarial Network for Mixture of Rain Removal 

      Shen, Yiyang; Wang, Yongzhen; Wei, Mingqiang; Chen, Honghua; Xie, Haoran; Cheng, Gary; Wang, Fu Lee (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Real-world rain is a mixture of rain streaks and rainy haze. However, current efforts formulate image rain streaks removal and rainy haze removal as separated models, worsening the loss of image details. This paper attempts ...
    • 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. ...