Now showing items 21-40 of 16162

    • 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 ...
    • 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 ...
    • 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 ...
    • SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation 

      Pan, Haoran; Zhou, Jun; Liu, Yuanpeng; Lu, Xuequan; Wang, Weiming; Yan, Xuefeng; Wei, Mingqiang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      6D pose estimation of rigid objects from RGB-D images is crucial for object grasping and manipulation in robotics. Although RGB channels and the depth (D) channel are often complementary, providing respectively the appearance ...
    • 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 ...
    • 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 ...
    • Contrastive Semantic-Guided Image Smoothing Network 

      Wang, Jie; Wang, Yongzhen; Feng, Yidan; Gong, Lina; Yan, Xuefeng; Xie, Haoran; Wang, Fu Lee; Wei, Mingqiang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Image smoothing is a fundamental low-level vision task that aims to preserve salient structures of an image while removing insignificant details. Deep learning has been explored in image smoothing to deal with the complex ...
    • 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 ...
    • Targeting Shape and Material in Lighting Design 

      Usta, Baran; Pont, Sylvia; Eisemann, Elmar (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Product lighting design is a laborious and time-consuming task. With product illustrations being increasingly rendered, the lighting challenge transferred to the virtual realm. Our approach targets lighting design in the ...
    • 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. ...
    • Real-Time Rendering of Eclipses without Incorporation of Atmospheric Effects 

      Schneegans, Simon; Gilg, Jonas; Ahlers, Volker; Gerndt, Andreas (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      In this paper, we present a novel approach for real-time rendering of soft eclipse shadows cast by spherical, atmosphereless bodies. While this problem may seem simple at first, it is complicated by several factors. First, ...
    • 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 ...
    • Multirate Shading with Piecewise Interpolatory Approximation 

      Hu, Yiwei; Yuan, Yazhen; Wang, Rui; Yang, Zhuo; Bao, Hujun (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Evaluating shading functions on geometry surfaces dominates the rendering computation. A high-quality but time-consuming estimate is usually achieved with a dense sampling rate for pixels or sub-pixels. In this paper, we ...
    • Specular Manifold Bisection Sampling for Caustics Rendering 

      Jhang, Jia-Wun; Chang, Chun-Fa (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose Specular Manifold Bisection Sampling (SMBS), an improved version of Specular Manifold Sampling (SMS) [ZGJ20]. SMBS is inspired by the small and large mutations in Metropolis Light Transport (MLT) [VG97]. While ...
    • 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' ...
    • 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 ...
    • 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 ...
    • Occluder Generation for Buildings in Digital Games 

      Wu, Kui; He, Xu; Pan, Zherong; Gao, Xifeng (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Occlusion culling has become a prevalent method in modern game engines. It can significantly reduce the rendering cost by using an approximate coarse mesh (occluder) for culling hidden objects. An ideal occluder should use ...
    • 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 ...