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The open vocabulary capability of 3D models is increasingly valued, as traditional methods with models trained with fixed categories fail to recognize unseen objects in complex dynamic 3D scenes.
Efficient graph-based image segmentation
Pedro F Felzenszwalb and Daniel P Huttenlocher · 2004
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Diederik P Kingma and Jimmy Ba · 2014
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Matterport3d: Learning from rgb-d data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 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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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Antti Tarvainen and Harri Valpola · 2017
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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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Large-scale point cloud semantic segmentation with superpoint graphs
Loic Landrieu and Martin Simonovsky · 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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Learning elementary structures for 3d shape generation and matching
Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir Kim, Bryan Russell, and Mathieu Aubry · 2019
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Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
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Kpconv: Flexible and deformable convolution for point clouds
Hugues Thomas, Charles R Qi, François Goulette, and Leonidas J Guibas · 2019
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Pointconv: Deep convolutional networks on 3d point clouds
Wenxuan Wu, Zhongang Qi, and Li Fuxin · 2019
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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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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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Pointgroup: Dual-set point grouping for 3d instance segmentation
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, and Jiaya Jia · 2020
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Deep learning-based smart task assistance in wearable augmented reality
Kyeong-Beom Park, Minseok Kim, and Jae Yeol Lee · 2020
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Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
Scott Ettinger, Shuyang Cheng, Charles R Qi, Yin Zhou, et al · 2021
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Dpc: Unsupervised deep point correspondence via cross and self construction
Itai Lang, Dvir Ginzburg, Shai Avidan, and Dan Raviv · 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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Mix3d: Out-of-context data augmentation for 3d scenes
Alexey Nekrasov, Jonas Schult, Or Litany, Bastian Leibe, and Francis Engelmann · 2021
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3d object detection with pointformer
Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, and Gao Huang · 2021
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High-resolution image synthesis with latent diffusion models, 2021
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
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Corrnet3d: Unsupervised end-to-end learning of dense correspondence for 3d point clouds
Yiming Zeng, Yue Qian, Zhiyu Zhu, Junhui Hou, Hui Yuan, and Ying He · 2021
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Point transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip HS Torr, and Vladlen Koltun · 2021
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In-place scene labelling and understanding with implicit scene representation
Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, and Andrew J Davison · 2021
Query refinement transformer for 3d instance segmentation
Jiahao Lu, Jiacheng Deng, Chuxin Wang, Jianfeng He, and Tianzhu Zhang · 2023
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Tokenize anything via prompting
Ting Pan, Lulu Tang, Xinlong Wang, and Shiguang Shan · 2023
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Toolflownet: Robotic manipulation with tools via predicting tool flow from point clouds
Daniel Seita, Yufei Wang, Sarthak J Shetty, Zackory Erickson, and David Held · 2023
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V-detr: Detr with vertex relative position encoding for 3d object detection
Yichao Shen, Zigang Geng, Yuhui Yuan, Yutong Lin, Ze Liu, Chunyu Wang, Han Hu, Nanning Zheng, and Baining Guo · 2023
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Panoptic lifting for 3d scene understanding with neural fields
Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Norman Müller, Matthias Nießner, Angela Dai, and Peter Kontschieder · 2023
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Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G Schwing, Alexander Kirillov, and Rohit Girdhar · 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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Mask3d for 3d semantic instance segmentation
Jonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, and Bastian Leibe · 2022
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Bi-stage multi-modal 3d instance segmentation method for production workshop scene
Zaizuo Tang, Guangzhu Chen, Yinhe Han, Xiaojuan Liao, Qingjun Ru, and Yuanyuan Wu · 2022
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Softgroup for 3d instance segmentation on point clouds
Thang Vu, Kookhoi Kim, Tung M Luu, Thanh Nguyen, and Chang D Yoo · 2022
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Dm-nerf: 3d scene geometry decomposition and manipulation from 2d images
Bing Wang, Lu Chen, and Bo Yang · 2022
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Superpoint transformer for 3d scene instance segmentation
Jiahao Sun, Chunmei Qing, Junpeng Tan, and Xiangmin Xu · 2023
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Multi-modal 3d object detection in autonomous driving: A survey and taxonomy
Li Wang, Xinyu Zhang, Ziying Song, Jiangfeng Bi, Guoxin Zhang, Haiyue Wei, Liyao Tang, Lei Yang, Jun Li, Caiyan Jia, et al · 2023
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Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using diffusion models
Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, and Chunhua Shen · 2023
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Lidarmultinet: Towards a unified multi-task network for lidar perception
Dongqiangzi Ye, Zixiang Zhou, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, and Hassan Foroosh · 2023
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Clip-fo3d: Learning free open-world 3d scene representations from 2d dense clip
Junbo Zhang, Runpei Dong, and Kaisheng Ma · 2023
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Segment everything everywhere all at once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, and Yong Jae Lee · 2023
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Panoptic vision-language feature fields
Haoran Chen, Kenneth Blomqvist, Francesco Milano, and Roland Siegwart · 2024
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Yolo-world: Real-time open-vocabulary object detection
Tianheng Cheng, Lin Song, Yixiao Ge, Wenyu Liu, Xinggang Wang, and Ying Shan · 2024
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Semantic gaussians: Open-vocabulary scene understanding with 3d gaussian splatting
Jun Guo, Xiaojian Ma, Yue Fan, Huaping Liu, and Qing Li · 2024
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Openins3d: Snap and lookup for 3d open-vocabulary instance segmentation
Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, and Joan Lasenby · 2024
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Oneformer3d: One transformer for unified point cloud segmentation
Maxim Kolodiazhnyi, Anna Vorontsova, Anton Konushin, and Danila Rukhovich · 2024
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Mamba24/8d: Enhancing global interaction in point clouds via state space model
Zhuoyuan Li, Yubo Ai, Jiahao Lu, ChuXin Wang, Jiacheng Deng, Hanzhi Chang, Yanzhe Liang, Wenfei Yang, Shifeng Zhang, and Tianzhu Zhang · 2024
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Regionplc: Regional point-language contrastive learning for open-world 3d scene understanding
Jihan Yang, Runyu Ding, Weipeng Deng, Zhe Wang, and Xiaojuan Qi · 2024
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Gaussian grouping: Segment and edit anything in 3d scenes
Mingqiao Ye, Martin Danelljan, Fisher Yu, and Lei Ke · 2024
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Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields
Shijie Zhou, Haoran Chang, Sicheng Jiang, Zhiwen Fan, Zehao Zhu, Dejia Xu, Pradyumna Chari, Suya You, Zhangyang Wang, and Achuta Kadambi · 2024
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Segment everything everywhere all at once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, and Yong Jae Lee · 2024
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Quantity-quality enhanced self-training network for weakly supervised point cloud semantic segmentation
Jiacheng Deng, Jiahao Lu, and Tianzhu Zhang · 2025
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Jiahao Lu, Jiacheng Deng, and Tianzhu Zhang · 2025
Closest in time.