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Classification, Detection

I'll use the following icons to differentiate 3D representations:

  • 📷 Multi-view Images
  • 👾 Volumetric
  • 🎲 Point Cloud
  • 💎 Polygonal Mesh
  • 💊 Primitive-based

Single Object Classification

👾 3D ShapeNets: A Deep Representation for Volumetric Shapes (2015) [Paper]

👾 VoxNet: A 3D Convolutional Neural Network for Real-Time Object Recognition (2015) [Paper] [Code]

📷 Multi-view Convolutional Neural Networks for 3D Shape Recognition (2015) [Paper]

📷 DeepPano: Deep Panoramic Representation for 3-D Shape Recognition (2015) [Paper]

👾📷 FusionNet: 3D Object Classification Using Multiple Data Representations (2016) [Paper]

👾📷 Volumetric and Multi-View CNNs for Object Classification on 3D Data (2016) [Paper] [Code]

👾 Generative and Discriminative Voxel Modeling with Convolutional Neural Networks (2016) [Paper] [Code]

💎 Geometric deep learning on graphs and manifolds using mixture model CNNs (2016) [Link]

👾 3D GAN: Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (2016) [Paper] [Code]

👾 Generative and Discriminative Voxel Modeling with Convolutional Neural Networks (2017) [Paper]

👾 FPNN: Field Probing Neural Networks for 3D Data (2016) [Paper] [Code]

👾 OctNet: Learning Deep 3D Representations at High Resolutions (2017) [Paper] [Code]

👾 O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis (2017) [Paper] [Code]

👾 Orientation-boosted voxel nets for 3D object recognition (2017) [Paper] [Code]

🎲 PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (2017) [Paper] [Code]

🎲 PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (2017) [Paper] [Code]

📷 Feedback Networks (2017) [Paper] [Code]

🎲 Escape from Cells: Deep Kd-Networks for The Recognition of 3D Point Cloud Models (2017) [Paper]

🎲 Dynamic Graph CNN for Learning on Point Clouds (2018) [Paper]

🎲 PointCNN (2018) [Paper]

🎲📷 A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation (2018 CVPR) [Paper]

Multiple Objects Detection

Sliding Shapes for 3D Object Detection in Depth Images (2014) [Paper]

Object Detection in 3D Scenes Using CNNs in Multi-view Images (2016) [Paper]

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images (2016) [Paper] [Code]

DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding (2016) [Paper]

SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite (2017) [Paper]

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection (2017) [Paper]

Frustum PointNets for 3D Object Detection from RGB-D Data (2017) [Paper]