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Point cloud (PC) processing tasks-such as completion, upsampling, denoising, and colorization-are crucial in applications like autonomous driving and 3D reconstruction.
Curve reconstruction from unorganized points
In-Kwon Lee · 2000
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Computing and rendering point set surfaces
Marc Alexa, Johannes Behr, Daniel Cohen-Or, Shachar Fleishman, David Levin, and Claudio T. Silva · 2003
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Fabio Remondino · 2003
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Point clouds
Franz Leberl, Arnold Irschara, Thomas Pock, Philipp Meixner, Michael Gruber, Set Scholz, and Alexander Wiechert · 2010
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Mapping the world in 3d
Brent Schwarz · 2010
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3d is here: Point cloud library (pcl)
Radu Bogdan Rusu and Steve Cousins · 2011
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Tutorial: Point cloud library: Three-dimensional object recognition and 6 dof pose estimation
Aitor Aldoma, Zoltan-Csaba Marton, Federico Tombari, Walter Wohlkinger, Christian Potthast, Bernhard Zeisl, Radu Bogdan Rusu, Suat Gedikli, and Markus Vincze · 2012
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Efficient colorization of large-scale point cloud using multi-pass z-ordering
Sunyoung Cho, Jizhou Yan, Yasuyuki Matsushita, and Hyeran Byun · 2014
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Loam: Lidar odometry and mapping in real-time
Ji Zhang and Sanjiv Singh · 2014
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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3d point cloud model colorization by dense registration of digital images
Nathan Crombez, Guillaume Caron, and E Mouaddib · 2015
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3d modeling of building indoor spaces and closed doors from imagery and point clouds
Lucía Díaz-Vilariño, Kourosh Khoshelham, Joaquín Martínez-Sánchez, and Pedro Arias · 2015
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Data-driven structural priors for shape completion
Minhyuk Sung, Vladimir G Kim, Roland Angst, and Leonidas Guibas · 2015
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3d-r2n2: A unified approach for single and multi-view 3d object reconstruction
Christopher B Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese · 2016
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A field model for repairing 3d shapes
Duc Thanh Nguyen, Binh-Son Hua, Khoi Tran, Quang-Hieu Pham, and Sai-Kit Yeung · 2016
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Deep sliding shapes for amodal 3d object detection in rgb-d images
Shuran Song and Jianxiong Xiao · 2016
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Progress, challenges and perspectives of 3d lidar point cloud processing
YANG Bisheng, LIANG Fuxun, and HUANG Ronggang · 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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Ffjord: Free-form continuous dynamics for scalable reversible generative models
Will Grathwohl, Ricky TQ Chen, Jesse Bettencourt, Ilya Sutskever, and David Duvenaud · 2018
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Multimodal cnn pedestrian classification: a study on combining lidar and camera data
Gledson Melotti, Cristiano Premebida, Nuno MM da S Gonçalves, Urbano JC Nunes, and Diego R Faria · 2018
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Autonomous vehicle navigation in rural environments without detailed prior maps
Teddy Ort, Liam Paull, and Daniela Rus · 2018
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Pointpronets: Consolidation of point clouds with convolutional neural networks
Riccardo Roveri, A Cengiz Öztireli, Ioana Pandele, and Markus Gross · 2018
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Pointfusion: Deep sensor fusion for 3d bounding box estimation
Danfei Xu, Dragomir Anguelov, and Ashesh Jain · 2018
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Pu-net: Point cloud upsampling network
Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, and Pheng-Ann Heng · 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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Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
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4d spatio-temporal convnets: Minkowski convolutional neural networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
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Integrating dense lidar-camera road detection maps by a multi-modal crf model
Shuo Gu, Yigong Zhang, Jinhui Tang, Jian Yang, Jose M Alvarez, and Hui Kong · 2019
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3d2seqviews: Aggregating sequential views for 3d global feature learning by cnn with hierarchical attention aggregation
Zhizhong Han, Honglei Lu, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, Junwei Han, and CL Philip Chen · 2019
Cited alongside, same era.
Range image based point cloud colorization using conditional generative model
Jong-Uk Hou, Baoquan Zhao, Naushad Ansari, and Weisi Lin · 2019
Cited alongside, same era.
Pu-gan: a point cloud upsampling adversarial network
Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, and Pheng-Ann Heng · 2019
Cited alongside, same era.
Point2color: 3d point cloud colorization using a conditional generative network and differentiable rendering for airborne lidar
Takayuki Shinohara, Haoyi Xiu, and Masashi Matsuoka · 2021
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Density-aware chamfer distance as a comprehensive metric for point cloud completion
Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, and Dahua Lin · 2021
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Pointr: Diverse point cloud completion with geometry-aware transformers
Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, and Jie Zhou · 2021
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3d shape generation and completion through point-voxel diffusion
Linqi Zhou, Yilun Du, and Jiajun Wu · 2021
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Cross-modal learning for image-guided point cloud shape completion
Emanuele Aiello, Diego Valsesia, and Enrico Magli · 2022
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Jitao Liu, Songmin Dai, and Xiaoqiang Li · 2019
Cited alongside, same era.
Complexer-yolo: Real-time 3d object detection and tracking on semantic point clouds
Martin Simon, Karl Amende, Andrea Kraus, Jens Honer, Timo Samann, Hauke Kaulbersch, Stefan Milz, and Horst Michael Gross · 2019
Cited alongside, same era.
Disn: Deep implicit surface network for high-quality single-view 3d reconstruction
Qiangeng Xu, Weiyue Wang, Duygu Ceylan, Radomir Mech, and Ulrich Neumann · 2019
Cited alongside, same era.
Patch-based progressive 3d point set upsampling
Wang Yifan, Shihao Wu, Hui Huang, Daniel Cohen-Or, and Olga Sorkine-Hornung · 2019
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Deep learning for 3d point clouds: A survey
Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, and Mohammed Bennamoun · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Neural points: Point cloud representation with neural fields for arbitrary upsampling
Wanquan Feng, Jin Li, Hongrui Cai, Xiaonan Luo, and Juyong Zhang · 2022
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Multi-modal sensor fusion for auto driving perception: A survey
Keli Huang, Botian Shi, Xiang Li, Xin Li, Siyuan Huang, and Yikang Li · 2022
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Bevfusion: A simple and robust lidar-camera fusion framework
Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, and Zhi Tang · 2022
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Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d
Yiyi Liao, Jun Xie, and Andreas Geiger · 2022
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Repaint: Inpainting using denoising diffusion probabilistic models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
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Combination of images and point clouds in a generative adversarial network for upsampling crack point clouds
Nhung Hong Thi Nguyen, Stuart Perry, Don Bone, Ha Le Thanh, Min Xu, and Thuy Thi Nguyen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Image super-resolution via iterative refinement
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2022
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Lion: Latent point diffusion models for 3d shape generation
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, and Karsten Kreis · 2022
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Maff-net: Filter false positive for 3d vehicle detection with multi-modal adaptive feature fusion
Zehan Zhang, Yuxi Shen, Hao Li, Xian Zhao, Ming Yang, Wenming Tan, ShiLiang Pu, and Hui Mao · 2022
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Scene-level point cloud colorization with semantics-and-geometry-aware networks
Rongrong Gao, Tian-Zhu Xiang, Chenyang Lei, Jaesik Park, and Qifeng Chen · 2023
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Grad-pu: Arbitrary-scale point cloud upsampling via gradient descent with learned distance functions
Yun He, Danhang Tang, Yinda Zhang, Xiangyang Xue, and Yanwei Fu · 2023
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Pc2: Projection-conditioned point cloud diffusion for single-image 3d reconstruction
Luke Melas-Kyriazi, Christian Rupprecht, and Andrea Vedaldi · 2023
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A conditional denoising diffusion probabilistic model for point cloud upsampling
Wentao Qu, Yuantian Shao, Lingwu Meng, Xiaoshui Huang, and Liang Xiao · 2023
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Adapointr: Diverse point cloud completion with adaptive geometry-aware transformers
Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, and Jie Zhou · 2023
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Attention-enhanced cross-modal localization between spherical images and point clouds
Zhipeng Zhao, Huai Yu, Chenwei Lyu, Wen Yang, and Sebastian Scherer · 2023
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Denoising point clouds in latent space via graph convolution and invertible neural network
Aihua Mao, Biao Yan, Zijing Ma, and Ying He · 2024
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Scaling diffusion models to real-world 3d lidar scene completion
Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch, Jens Behley, and Cyrill Stachniss · 2024
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A conditional denoising diffusion probabilistic model for point cloud upsampling
Wentao Qu, Yuantian Shao, Lingwu Meng, Xiaoshui Huang, and Liang Xiao · 2024
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Icafusion: Iterative cross-attention guided feature fusion for multispectral object detection
Jifeng Shen, Yifei Chen, Yue Liu, Xin Zuo, Heng Fan, and Wankou Yang · 2024
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