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Point Cloud Interpolation confronts challenges from point sparsity, complex spatiotemporal dynamics, and the difficulty of deriving complete 3D point clouds from sparse temporal information.
The kitti vision benchmark suite
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2015
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3d-coded: 3d correspondences by deep deformation
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2018
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Open3d: A modern library for 3d data processing
Qian-Yi Zhou, Jaesik Park, and Vladlen Koltun · 2018
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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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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, et al · 2019
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Hplflownet: Hierarchical permutohedral lattice flownet for scene flow estimation on large-scale point clouds
Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, and Panqu Wang · 2019
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Flownet3d: Learning scene flow in 3d point clouds
Xingyu Liu, Charles R Qi, and Leonidas J Guibas · 2019
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Immersive process model exploration in virtual reality
André Zenner, Akhmajon Makhsadov, Sören Klingner, David Liebemann, and Antonio Krüger · 2020
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Pointpwc-net: Cost volume on point clouds for (self-) supervised scene flow estimation
Wenxuan Wu, Zhi Yuan Wang, Zhuwen Li, Wei Liu, and Li Fuxin · 2020
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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Offboard 3d object detection from point cloud sequences
Charles R Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, and Dragomir Anguelov · 2021
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Self-supervised 4d spatio-temporal feature learning via order prediction of sequential point cloud clips
Haiyan Wang, Liang Yang, Xuejian Rong, Jinglun Feng, and Yingli Tian · 2021
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Sequential 3d human pose estimation using adaptive point cloud sampling strategy
Zihao Zhang, Lei Hu, Xiaoming Deng, and Shihong Xia · 2021
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Pointinet: Point cloud frame interpolation network
Fan Lu, Guang Chen, Sanqing Qu, Zhijun Li, Yinlong Liu, and Alois Knoll · 2021
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Pv-raft: Point-voxel correlation fields for scene flow estimation of point clouds
Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, and Jie Zhou · 2021
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Neural scene flow prior
Xueqian Li, Jhony Kaesemodel Pontes, and Simon Lucey · 2021
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Alias-free generative adversarial networks
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2021
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Geometry processing with neural fields
Guandao Yang, Serge Belongie, Bharath Hariharan, and Vladlen Koltun · 2021
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Neat: Neural attention fields for end-to-end autonomous driving
Kashyap Chitta, Aditya Prakash, and Andreas Geiger · 2021
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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S3cnet: A sparse semantic scene completion network for lidar point clouds
Ran Cheng, Christopher Agia, Yuan Ren, Xinhai Li, and Liu Bingbing · 2021
Cited alongside, same era.
Idea-net: Dynamic 3d point cloud interpolation via deep embedding alignment
Yiming Zeng, Yue Qian, Qijian Zhang, Junhui Hou, Yixuan Yuan, and Ying He · 2022
Cited alongside, same era.
Generalised implicit neural representations
Daniele Grattarola and Pierre Vandergheynst · 2022
Cited alongside, same era.
Sfgan: Unsupervised generative adversarial learning of 3d scene flow from the 3d scene self
Difflow3d: Toward robust uncertainty-aware scene flow estimation with diffusion model
Jiuming Liu, Guangming Wang, Weicai Ye, Chaokang Jiang, Jinru Han, Zhe Liu, Guofeng Zhang, Dalong Du, and Hesheng Wang · 2023
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Pt-flownet: Scene flow estimation on point clouds with point transformer
Jingyun Fu, Zhiyu Xiang, Chengyu Qiao, and Tingming Bai · 2023
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Gmsf: Global matching scene flow
Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, and Michael Felsberg · 2023
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Self-supervised 3d scene flow estimation guided by superpoints
Yaqi Shen, Le Hui, Jin Xie, and Jian Yang · 2023
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Scoop: Self-supervised correspondence and optimization-based scene flow
Itai Lang, Dror Aiger, Forrester Cole, Shai Avidan, and Michael Rubinstein · 2023
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Guangming Wang, Chaokang Jiang, Zehang Shen, Yanzi Miao, and Hesheng Wang · 2022
Cited alongside, same era.
Monet: Motion-based point cloud prediction network
Fan Lu, Guang Chen, Zhijun Li, Lijun Zhang, Yinlong Liu, Sanqing Qu, and Alois Knoll · 2022
Cited alongside, same era.
Bi-pointflownet: Bidirectional learning for point cloud based scene flow estimation
Wencan Cheng and Jong Hwan Ko · 2022
Cited alongside, same era.
3d scene flow estimation on pseudo-lidar: Bridging the gap on estimating point motion
Chaokang Jiang, Guangming Wang, Yanzi Miao, and Hesheng Wang · 2022
Cited alongside, same era.
Hsc4d: Human-centered 4d scene capture in large-scale indoor-outdoor space using wearable imus and lidar
Yudi Dai, Yitai Lin, Chenglu Wen, Siqi Shen, Lan Xu, Jingyi Yu, Yuexin Ma, and Cheng Wang · 2022
Cited alongside, same era.
Neuralpci: Spatio-temporal neural field for 3d point cloud multi-frame non-linear interpolation
Zehan Zheng, Danni Wu, Ruisi Lu, Fan Lu, Guang Chen, and Changjun Jiang · 2023
Cited alongside, same era.
Neural vector fields: Implicit representation by explicit learning
Xianghui Yang, Guosheng Lin, Zhenghao Chen, and Luping Zhou · 2023
Cited alongside, same era.
Regformer: an efficient projection-aware transformer network for large-scale point cloud registration
Jiuming Liu, Guangming Wang, Zhe Liu, Chaokang Jiang, Marc Pollefeys, and Hesheng Wang · 2023
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Translo: A window-based masked point transformer framework for large-scale lidar odometry
Jiuming Liu, Guangming Wang, Chaokang Jiang, Zhe Liu, and Hesheng Wang · 2023
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Pseudo-lidar for visual odometry
Yanzi Miao, Huiying Deng, Chaokang Jiang, Zhiheng Feng, Xinrui Wu, Guangming Wang, and Hesheng Wang · 2023
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Learning compact representations for lidar completion and generation
Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, and Raquel Urtasun · 2023
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Sni-slam: Semantic neural implicit slam
Siting Zhu, Guangming Wang, Hermann Blum, Jiuming Liu, Liang Song, Marc Pollefeys, and Hesheng Wang · 2023
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3dsflabelling: Boosting 3d scene flow estimation by pseudo auto-labelling
Chaokang Jiang, Guangming Wang, Jiuming Liu, Hesheng Wang, Zhuang Ma, Zhenqiang Liu, Zhujin Liang, Yi Shan, and Dalong Du · 2024
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Deblurring 3d gaussian splatting
Byeonghyeon Lee, Howoong Lee, Xiangyu Sun, Usman Ali, and Eunbyung Park · 2024
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A survey on 3d gaussian splatting
Guikun Chen and Wenguan Wang · 2024
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Gaussianflow: Splatting gaussian dynamics for 4d content creation
Quankai Gao, Qiangeng Xu, Zhe Cao, Ben Mildenhall, Wenchao Ma, Le Chen, Danhang Tang, and Ulrich Neumann · 2024
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Stag4d: Spatial-temporal anchored generative 4d gaussians
Yifei Zeng, Yanqin Jiang, Siyu Zhu, Yuanxun Lu, Youtian Lin, Hao Zhu, Weiming Hu, Xun Cao, and Yao Yao · 2024
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Jiuming Liu, Dong Zhuo, Zhiheng Feng, Siting Zhu, Chensheng Peng, Zhe Liu, and Hesheng Wang · 2024
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Semgauss-slam: Dense semantic gaussian splatting slam
Siting Zhu, Renjie Qin, Guangming Wang, Jiuming Liu, and Hesheng Wang · 2024
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