Corpus ID: 203952114

3D Manhattan Room Layout Reconstruction from a Single 360 Image

@article{Zou20193DMR,
  title={3D Manhattan Room Layout Reconstruction from a Single 360 Image},
  author={Chuhang Zou and Jheng-Wei Su and Chi-Han Peng and Alex Colburn and Qi Shan and Peter Wonka and Hung-kuo Chu and Derek Hoiem},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.04099}
}
Recent approaches for predicting layouts from 360 panoramas produce excellent results. These approaches build on a common framework consisting of three steps: a pre-processing step based on edge-based alignment, prediction of layout elements, and a post-processing step by fitting a 3D layout to the layout elements. Until now, it has been difficult to compare the methods due to multiple different design decisions, such as the encoding network (e.g. SegNet or ResNet), type of elements predicted… Expand
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