Neural 3D Mesh Renderer

DOI

Description

<p>We introduce our paper ``Neural 3D Mesh Render" presented at CVPR and MIRU last year. In this work, we proposed a novel renderer that takes a 3D mesh, light, and camera setting and outputs an image. Because ``back-propagation" is defined in our renderer, it can be used as a layer of deep neural networks. By using it, we can pass the gradient of a loss into a 3D space through renderer and optimize components there. In experiments, we demonstrated the effectiveness of our renderer by applying it to view-based training of single-view 3D reconstruction, 2D-to-3D style transfer, and 3D DeepDream. We also introduce some papers that use our renderer for other problems.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390845713074341120
  • NII Article ID
    130007658680
  • DOI
    10.11517/pjsai.jsai2019.0_3e4os12b01
  • ISSN
    27587347
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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