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Acquiring complete and clean 3D shape and scene data is challenging due to geometric occlusion and insufficient views during 3D capturing.
Octrees for faster isosurface generation
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Poisson surface reconstruction
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Data-parallel octrees for surface reconstruction
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An Interactive Approach to Semantic Modeling of Indoor Scenes with an RGBD Camera
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Thrust and CUDA in data intensive algorithms
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Screened Poisson surface reconstruction
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Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics
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Context-based Coherent Surface Completion
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U-Net: Convolutional networks for biomedical image segmentation
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Data-driven structural priors for shape completion
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3D ShapeNets: A deep representation for volumetric shape modeling
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Deep Learning
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Identity mappings in deep residual networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Volumetric and multi-view CNNs for object classification on 3D data
Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, and Leonidas J. Guibas · 2016
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Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, and Joshua B. Tenenbaum · 2016
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Shape completion using 3D-encoder-predictor CNNs and shape synthesis
Angela Dai, Charles Ruizhongtai Qi, and Matthias Niessner · 2017
O-CNN: Octree-based convolutional neural networks for 3D shape analysis
Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun, and Xin Tong · 2017
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Learning to reconstruct high-quality 3D shapes with cascaded fully convolutional networks
Yan-Pei Cao, Zheng-Ning Liu, Zheng-Fei Kuang, Leif Kobbelt, and Shi-Min Hu · 2018
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ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, and Matthias Nießner · 2018
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View-volume network for semantic scene completion from a single depth image
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See and think: Disentangling semantic scene completion
Shice Liu, Yu Hu, Yiming Zeng, Qiankun Tang, Beibei Jin, Yinhe Han, and Xiaowei Li · 2018
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Submanifold Sparse Convolutional Networks
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High-resolution shape completion using deep neural networks for global structure and local geometry inference
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Hierarchical surface prediction for 3D object reconstruction
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Escape from cells: Deep Kd-networks for the recognition of 3D point cloud models
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PointNet: Deep learning on point sets for 3D classification and segmentation
Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2017
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PointNet++: Deep hierarchical feature learning on point sets in a metric space
Charles R Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Adaptive O-CNN: A patch-based deep representation of 3D shapes
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Learning shape priors for single-view 3D completion and reconstruction
Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T Freeman, and Joshua B Tenenbaum · 2018
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Constructing 3D CSG models from 3D raw point clouds
Q. Wu, K. Xu, and J. Wang · 2018
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Dense 3D object reconstruction from a single depth view
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P2P-NET: Bidirectional Point Displacement Net for Shape Transform
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Efficient semantic scene completion network with spatial group convolution
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Learning implicit fields for generative shape modeling
Zhiqin Chen and Hao Zhang · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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DeepSDF: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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ForkNet: Multi-branch volumetric semantic completion from a single depth image
Yida Wang, David Joseph Tan, Nassir Navab, and Federico Tombari · 2019
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Cascaded context pyramid for full-resolution 3D semantic scene completion
Pingping Zhang, Wei Liu, Yinjie Lei, Huchuan Lu, and Xiaoyun Yang · 2019
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