Deep Learning And 3D

Papers

Deep End2End Voxel2Voxel Prediction

• arXiv: http://arxiv.org/abs/1511.06681

Aligning 3D Models to RGB-D Images of Cluttered Scenes

• paper: http://www.cs.berkeley.edu/~rbg/papers/cvpr15/align2rgbd.pdf

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images

• arxiv: http://arxiv.org/abs/1511.02300
• homepage: http://dss.cs.princeton.edu/

Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video

• arxiv: http://arxiv.org/abs/1511.09439
• project page: https://fling.seas.upenn.edu/~xiaowz/dynamic/wordpress/monocular-human-pose/
• video: http://weibo.com/p/230444264a8772b7fff71cd23e40b8a88dcaad

RotationNet: Learning Object Classification Using Unsupervised Viewpoint Estimation

• arxiv: http://arxiv.org/abs/1603.06208

DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding

• paper: http://deepcontext.cs.princeton.edu/paper.pdf
• project page: http://deepcontext.cs.princeton.edu/

Deep3D: Automatic 2D-to-3D Video Conversion with CNNs

• paper: http://homes.cs.washington.edu/~jxie/pdf/deep3d.pdf
• project page: http://dmlc.ml/mxnet/2016/04/04/deep3d-automatic-2d-to-3d-conversion-with-CNN.html
• github: https://github.com/piiswrong/deep3d

Codes

StereoConvNet: Stereo convolutional neural network for depth map prediction from stereo images

• github: https://github.com/LouisFoucard/StereoConvNet