Playing for Depth

15 October 2018

Papers citing "Playing for Depth"

11 / 11 papers shown

Title
MegaDepth: Learning Single-View Depth Prediction from Internet Photos Zhengqi Li Noah Snavely MDE 3DV 109 1,020 0 02 Apr 2018
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Ting-Chun Wang Ming-Yuan Liu Jun-Yan Zhu Andrew Tao Jan Kautz Bryan Catanzaro SSeg 174 3,943 0 30 Nov 2017
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image Fangchang Ma S. Karaman MDE 3DV 86 587 0 21 Sep 2017
Playing for Benchmarks Stephan R. Richter Zeeshan Hayder V. Koltun 78 470 0 21 Sep 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 232 8,481 0 17 Jun 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 326 5,239 0 16 Sep 2016
Playing for Data: Ground Truth from Computer Games Stephan R. Richter Vibhav Vineet Stefan Roth V. Koltun VLM 122 2,011 0 07 Aug 2016
Single-Image Depth Perception in the Wild Weifeng Chen Z. Fu Dawei Yang Jia Deng MDE 103 520 0 13 Apr 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,192 0 16 Mar 2016
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 209 2,681 0 18 Nov 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 239 4,059 0 09 Jun 2014