GigaDepth: Learning Depth from Structured Light with Branching Neural Networks

Author:

Schreiberhuber SimonORCID,Weibel Jean-BaptisteORCID,Patten TimothyORCID,Vincze MarkusORCID

Publisher

Springer Nature Switzerland

Reference26 articles.

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2. Bian, J.W., et al.: Unsupervised scale-consistent depth learning from video. Int. J. Comput. Vision 129, 2548–2564 (2021)

3. Carrihill, B., Hummel, R.: Experiments with the intensity ratio depth sensor. Computer Vision, Graphics, and Image Processing 32(3), 337–358 (1985)

4. Chang, A.X., et al.: ShapeNet: an information-rich 3D model repository. Tech. Rep. arXiv:1512.03012 [cs.GR], Stanford University – Princeton University – Toyota Technological Institute at Chicago (2015)

5. Chang, J.R., Chen, Y.S.: Pyramid stereo matching network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5410–5418 (2018)

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