Geometry Meets Deep Learning(专栏)

Geometry Meets Deep Learning

• 2017
• 2016
• 2015

2017

• A Point Set Generation Network for 3D Object Reconstruction from a Single Image
  • paper-CVPR2017
• Visual Attribute Transfer through Deep Image Analogy
  • paper-SIGGRAPH2017
• FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
  • paper-CVPR2017
• Inverse Compositional Spatial Transformer Networks
  • paper-CVPR2017
• Convolutional neural network architecture for geometric matching
  • paper-CVPR2017

2016

• Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
  • paper-2016
    
• View Synthesis by Appearance Flow
  • paper-ECCV2016
    

2015

• FlowNet: Learning Optical Flow with Convolutional Networks
  • paper-ICCV2015
• Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
  • paper-ICCV2015
• PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization
  • paper-ICCV2015
    
• spatial transformer networks
  • [paper-NerulPS2015]