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In this paper, we propose a Point Fractal Network (PF-Net), a novel learning-based approach for precise and high-fidelity point cloud completion.
Generative adversarial nets
Ian Goodfellow, Jean Pougetabadie, Mehdi Mirza, Bing Xu, David Wardefarley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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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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Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, and Alexei A Efros · 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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A scalable active framework for region annotation in 3D shape collections
Li Yi, Vladimir G Kim, Duygu Ceylan, Ichao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas J Guibas · 2016
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A point sampling algorithm for 3D matching of irregular geometries
Tolga Birdal and Slobodan Ilic · 2017
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Shape completion using 3D-Encoder-Predictor CNNs and shape synthesis
Angela Dai, Charles R Qi, and Matthias Niebner · 2017
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A point set generation network for 3D object reconstruction from a single image
Haoqiang Fan, Su Hao, and Leonidas Guibas · 2017
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High-resolution shape completion using deep neural networks for global structure and local geometry inference
Xiaoguang Han, Li Zhen, and Huang Haibin · 2017
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Feature pyramid networks for object detection
Tsung Yi Lin, Piotr Dollar, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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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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Dynamic routing between capsules
Sara Sabour, Nicholas Frosst, and Geoffrey E Hinton · 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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Learning representations and generative models for 3D point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas J Guibas · 2018
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Cascade R-CNN: Delving into high quality object detection
Zhaowei Cai and Nuno Vasconcelos · 2018
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Multiresolution tree networks for 3D point cloud processing
Matheus Gadelha, Rui Wang, and Subhransu Maji · 2018
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Triplet-center loss for multi-view 3D object retrieval
PU-Net: Point cloud upsampling network
Lequan Yu, Xianzhi Li, Chiwing Fu, Daniel Cohenor, and Phengann Heng · 2018
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Multi-view harmonized bilinear network for 3D object recognition
Tan Yu, Jingjing Meng, and Junsong Yuan · 2018
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PCN: Point completion network
Wentao Yuan, Tejas Khot, David Held, Christoph Mertz, and Martial Hebert · 2018
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3D point capsule networks
Yongheng Zhao, Tolga Birdal, Haowen Deng, and Federico Tombari · 2018
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VoxelNet: End-to-end learning for point cloud based 3D object detection
Yin Zhou and Oncel Tuzel · 2018
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Hybrid task cascade for instance segmentation
Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, et al · 2019
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Xinwei He, Yang Zhou, Zhichao Zhou, Song Bai, and Xiang Bai · 2018
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CapsuleGAN: Generative adversarial capsule network
Ayush Jaiswal, Wael Abdalmageed, Yue Wu, and Premkumar Natarajan · 2018
Cited alongside, same era.
RotationNet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints
Asako Kanezaki, Yasuyuki Matsushita, and Yoshifumi Nishida · 2018
Cited alongside, same era.
Point cloud GAN
Chunliang Li, Manzil Zaheer, Yang Zhang, Barnabas Poczos, and Ruslan Salakhutdinov · 2018
Cited alongside, same era.
Learning efficient point cloud generation for dense 3D object reconstruction
Chenhsuan Lin, Chen Kong, and Simon Lucey · 2018
Cited alongside, same era.
An optimization view on dynamic routing between capsules
Dilin Wang and Qiang Liu · 2018
Cited alongside, same era.
Foldingnet: Point cloud auto-encoder via deep grid deformation
Yaoqing Yang, Chen Feng, Yiru Shen, and Dong Tian · 2018
Cited alongside, same era.
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Hypergraph neural networks
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, and Yue Gao · 2019
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Panoptic feature pyramid networks
Alexander Kirillov, Ross Girshick, Kaiming He, and Piotr Doll¨¢r · 2019
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Relation-shape convolutional neural network for point cloud analysis
Yongcheng Liu, Bin Fan, Shiming Xiang, and Chunhong Pan · 2019
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Libra R-CNN: Towards balanced learning for object detection
Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, and Dahua Lin · 2019
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RL-GAN-Net: A reinforcement learning agent controlled GAN network for real-time point cloud shape completion
Muhammad Sarmad, Hyunjoo Lee, and Young Min Kim · 2019
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Fcos: Fully convolutional one-stage object detection
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
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