deeplearningforscenereconstruction

•Background

•LIFT: Learned Invariant Feature Transform

•Detect/Match Keypoints with Deep Architectures

•MatchNet

•Universal Correspondence Network

•Depth Prediction using a Multi-Scale Deep Network

•Deeper Depth Prediction with Fully Convol. ResNet

•Depth Estimation with Left-Right Consistency

•Depth Estimation: Geometry to the Rescue

•Deep Depth From Focus

•Deep Learning for Monocular Depth Map Prediction

•Scene Parsing with Perspective Understanding

•PoseNet

•Generate Object Models with CNNs

•3D View Synthesis by Deep NN

•Multi-view 3D Models from Single Images

•View Synthesis by Appearance Flow

•Perspective Transformer Nets

•3D-R2N2

•SurfNet

•Face reconstruction

•Deep3D

•DeepStereo

•Novel View Generation from Deep NN

•SfMNet

•DEMON

•Learning of Depth and Ego-Motion from Video

•SemanticFusion

•CNN-SLAM

•Appendix: Deep Learning Introduction