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Point clouds captured in real-world applications are often incomplete due to the limited sensor resolution, single viewpoint, and occlusion.
Vision meets robotics: The kitti dataset. international journal of robotics research (ijrr)
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Order matters: Sequence to sequence for sets
Oriol Vinyals, Samy Bengio, and Manjunath Kudlur · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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Christopher B. Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese · 2016
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Rohit Girdhar, David F. Fouhey, Mikel Rodriguez, and Abhinav Gupta · 2016
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A field model for repairing 3d shapes
Duc Thanh Nguyen, Binh-Son Hua, Minh-Khoi Tran, Quang-Hieu Pham, and Sai-Kit Yeung · 2016
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Vconv-dae: Deep volumetric shape learning without object labels
Abhishek Sharma, Oliver Grau, and Mario Fritz · 2016
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Joint 2d-3d-semantic data for indoor scene understanding
Iro Armeni, Sasha Sax, Amir R Zamir, and Silvio Savarese · 2017
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
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Shape completion using 3d-encoder-predictor cnns and shape synthesis
Angela Dai, Charles Ruizhongtai Qi, and Matthias Nießner · 2017
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A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 2017
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High-resolution shape completion using deep neural networks for global structure and local geometry inference
Xiaoguang Han, Zhen Li, Haibin Huang, Evangelos Kalogerakis, and Yizhou Yu · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles Ruizhongtai 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 Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J. Guibas · 2017
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Shape completion enabled robotic grasping
Jacob Varley, Chad DeChant, Adam Richardson, Joaquín Ruales, and Peter K. Allen · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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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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Shape inpainting using 3d generative adversarial network and recurrent convolutional networks
Weiyue Wang, Qiangui Huang, Suya You, Chao Yang, and Ulrich Neumann · 2017
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3d object reconstruction from a single depth view with adversarial learning
Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, and Niki Trigoni · 2017
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Foldingnet: Interpretable unsupervised learning on 3d point clouds
Yaoqing Yang, Chen Feng, Yiru Shen, and Dong Tian · 2017
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Learning representations and generative models for 3d point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas J. Guibas · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Point-voxel CNN for efficient 3d deep learning
Zhijian Liu, Haotian Tang, Yujun Lin, and Song Han · 2019
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RWTH ASR systems for librispeech: Hybrid vs attention - w/o data augmentation
Christoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, and Hermann Ney · 2019
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Dense 3d point cloud reconstruction using a deep pyramid network
Priyanka Mandikal and R. Venkatesh Babu · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever · 2019
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3d semantic segmentation with submanifold sparse convolutional networks
Benjamin Graham, Martin Engelcke, and Laurens van der Maaten · 2018
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Atlasnet: A papier-mâché approach to learning 3d surface generation
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, and Mathieu Aubry · 2018
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A papier-mâché approach to learning 3d surface generation
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2018
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Fixing weight decay regularization in adam
Ilya Loshchilov and Frank Hutter · 2018
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Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, and Alexander Ku · 2018
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Learning 3d shape completion from laser scan data with weak supervision
David Stutz and Andreas Geiger · 2018
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Splatnet: Sparse lattice networks for point cloud processing
Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, and Jan Kautz · 2018
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Rl-gan-net: A reinforcement learning agent controlled gan network for real-time point cloud shape completion
Muhammad Sarmad, Hyunjoo Jenny Lee, and Young Min Kim · 2019
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End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Tatiana Likhomanenko, Edouard Grave, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, and Ronan Collobert · 2019
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What do single-view 3d reconstruction networks learn?
Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, and Thomas Brox · 2019
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Topnet: Structural point cloud decoder
Lyne P. Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian D. Reid, and Silvio Savarese · 2019
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Dynamic graph cnn for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon · 2019
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Pf-net: Point fractal network for 3d point cloud completion
Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, and Xinyi Le · 2020
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Morphing and sampling network for dense point cloud completion
Minghua Liu, Lu Sheng, Sheng Yang, Jing Shao, and Shi-Min Hu · 2020
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Cascaded refinement network for point cloud completion
Xiaogang Wang, Marcelo H Ang Jr, and Gim Hee Lee · 2020
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Grnet: Gridding residual network for dense point cloud completion
Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, and Wenxiu Sun · 2020
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Detail preserved point cloud completion via separated feature aggregation
Wenxiao Zhang, Qingan Yan, and Chunxia Xiao · 2020
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Dynamicvit: Efficient vision transformers with dynamic token sparsification
Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, and Cho-Jui Hsieh · 2021
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Pmp-net: Point cloud completion by learning multi-step point moving paths
Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, and Yu-Shen Liu · 2021
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