MegaDepth: Learning Single-View Depth Prediction from Internet PhotosMegaDepth: Learning Single-View Depth Prediction from Internet Photos We use large Internet image collections, combined with 3D reconstruction and semantic labeling methods, to generate large amounts of training data for single-view depth prediction. (a), (b), (e): Example input RGB images. (c), (d), (f): Depth maps predicted by our MegaDepth-trained CNN (blue=near, red=far). For these results, th
http://www.cs.cornell.edu/~ylongqi/paper/HsiehYCLBE17.pdf
http://www.cs.cornell.edu/~pramook/papers/manpu2016.pdf
http://www.cs.cornell.edu/~snavely/courses/phototour_im2gps/hays_im2gps_course.pdf
