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While an increasing interest in deep models for single-image depth estimation methods can be observed, established schemes for their evaluation are still limited.
Shape from shading: A method for obtaining the shape of a smooth opaque object from one view
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Learning depth from single monocular images using deep convolutional neural fields
Fayao Liu, Chunhua Shen, Guosheng Lin, and Ian Reid · 2016
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Bo Li, Chunhua Shen, Yuchao Dai, Anton van den Hengel, and Mingyi He · 2015
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Fayao Liu, Chunhua Shen, and Guosheng Lin · 2015
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Bo Li, Yuchao Dai, Huahui Chen, and Mingyi He
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Monocular depth estimation using neural regression forest
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Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
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A multi-view stereo benchmark with high-resolution images and multi-camera videos
Thomas Schöps, Johannes L Schönberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and Andreas Geiger · 2017
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Cnn-slam: Real-time dense monocular slam with learned depth prediction
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Multi-scale continuous crfs as sequential deep networks for monocular depth estimation
Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, and Nicu Sebe · 2017
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