OctNet: Learning Deep 3D Representations at High Resolutions

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OctNet: Learning Deep 3D Representations at High Resolutions

15 November 2016

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Papers citing "OctNet: Learning Deep 3D Representations at High Resolutions"

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Title
Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark Timo Hackel Nikolay Savinov Lubor Ladicky Jan Dirk Wegner Konrad Schindler Marc Pollefeys 3DV PINN 3DPC 84 712 0 12 Apr 2017
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models Roman Klokov Victor Lempitsky 3DV 82 984 0 04 Apr 2017
OctNetFusion: Learning Depth Fusion from Data Gernot Riegler Ali O. Ulusoy Horst Bischof Andreas Geiger 3DPC 3DV 113 207 0 04 Apr 2017
Hierarchical Surface Prediction for 3D Object Reconstruction Christian Häne Shubham Tulsiani Jitendra Malik 3DV 122 332 0 03 Apr 2017
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs Maxim Tatarchenko Alexey Dosovitskiy Thomas Brox 3DV 113 741 0 28 Mar 2017
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras Lingni Ma J. Stückler C. Kerl Zorah Lähner 70 152 0 26 Mar 2017