Learning 3D Scene Semantics and Structure from a Single Depth Image
Explore this paper's citation graph
- Type
- article
- Published
- 2018-06-01
- Cited by
- 6
- References
- 24
- Access
- Open access
- OpenAlex
- https://openalex.org/W2893396759
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:53331936
Keywords
Computer science, Artificial intelligence, Voxel, Semantics (computer science), Grid
References
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Fully convolutional networks for semantic segmentation
- RGB-(D) scene labeling: Features and algorithms
- Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition
- A Field Model for Repairing 3D Shapes
- Structured Prediction of Unobserved Voxels from a Single Depth Image
- The three R's of computer vision: Recognition, reconstruction and reorganization
- Shape completion enabled robotic grasping
- Semantic Scene Completion from a Single Depth Image
- Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis
- Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene
- 3D Object Dense Reconstruction from a Single Depth View
- 3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
- ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
- 3D Object Reconstruction from a Single Depth View with Adversarial Learning
- Path Aggregation Network for Instance Segmentation
Cited by
- Pushing the Boundaries of View Extrapolation With Multiplane Images
- 3D Semantic Scene Completion from a Single Depth Image Using Adversarial Training
- VIPEye: Architecture and Prototype Implementation of Autonomous Mobility for Visually Impaired People
- Single image 3D object reconstruction based on deep learning: A review
- Learning to Reconstruct and Segment 3D Objects
- Semantic Segmentation and Completion of 2D and 3D Scenes
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