Browsing 41-Issue 7 by Subject "Artificial intelligence"

Now showing items 1-3 of 3

    • 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 ...

    • 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 ...