Now showing items 51-57 of 57

    • 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 ...
    • TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning 

      Wang, Yongzhen; Yan, Xuefeng; Zhang, Kaiwen; Gong, Lina; Xie, Haoran; Wang, Fu Lee; Wei, Mingqiang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Adverse weather conditions such as haze, rain, and snow often impair the quality of captured images, causing detection networks trained on normal images to generalize poorly in these scenarios. In this paper, we raise an ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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. ...
    • 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 ...