Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks

@inproceedings{Xie2016Deep3DFA,
  title={Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks},
  author={Junyuan Xie and Ross B. Girshick and Ali Farhadi},
  booktitle={ECCV},
  year={2016}
}
As 3D movie viewing becomes mainstream and the Virtual Reality (VR) market emerges, the demand for 3D contents is growing rapidly. [...] Key Method In contrast to previous automatic 2D-to-3D conversion algorithms, which have separate stages and need ground truth depth map as supervision, our approach is trained end-to-end directly on stereo pairs extracted from existing 3D movies. This novel training scheme makes it possible to exploit orders of magnitude more data and significantly increases performance…Expand
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