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3D Shape Reconstruction

  1. summary image

    Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image

    Feng Liu, Xiaoming Liu

    Inferring 3D locations and shapes of multiple objects from a single 2D image is a long-standing objective of computer vision. Most of the existing works either predict one of these 3D properties or focus on solving both for a single object. One fundamental challenge lies in how to learn an ...

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    Keywords: 3D Object Detection, 3D Shape Reconstruction, Generic Object 3D Reconstruction

  2. summary image

    Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction

    Feng Liu, Luan Tran, Xiaoming Liu

    Inferring 3D structure of a generic object from a 2D image is a long-standing objective of computer vision. Conventional approaches either learn completely from CAD-generated synthetic data, which have difficulty in inference from real images, or generate 2.5D depth image via intrinsic decomposition, which is limited compared to the ...

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    Keywords: 3D Shape Reconstruction

2021

  • Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image
    Feng Liu, Xiaoming Liu
    In Proceeding of Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, Dec. 2021
    Bibtex | PDF | arXiv | Supplemental | Project Webpage | Code | Video
  • @inproceedings{ voxel-based-3d-detection-and-reconstruction-of-multiple-objects-from-a-single-image,
      author = { Feng Liu and Xiaoming Liu },
      title = { Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image },
      booktitle = { In Proceeding of Thirty-fifth Conference on Neural Information Processing Systems },
      address = { Virtual },
      month = { December },
      year = { 2021 },
    }