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Semantic occupancy prediction aims to infer dense geometry and semantics of surroundings for an autonomous agent to operate safely in the 3D environment.
Indoor segmentation and support inference from rgbd images
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, and Rob Fergus · 2012
Earlier work this paper cites.
Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Semantic scene completion from a single depth image
Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, and Thomas Funkhouser · 2017
Earlier work this paper cites.
Semantickitti: A dataset for semantic scene understanding of lidar sequences
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
Earlier work this paper cites.
Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, and Kilian Q Weinberger · 2019
Earlier work this paper cites.
3d sketch-aware semantic scene completion via semi-supervised structure prior
Xiaokang Chen, Kwan-Yee Lin, Chen Qian, Gang Zeng, and Hongsheng Li · 2020
Earlier work this paper cites.
Anisotropic convolutional networks for 3d semantic scene completion
Jie Li, Kai Han, Peng Wang, Yu Liu, and Xia Yuan · 2020
Earlier work this paper cites.
Open-vocabulary object detection via vision and language knowledge distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, and Yin Cui · 2021
Cited alongside, same era.
Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
Open-vocabulary object detection using captions
Alireza Zareian, Kevin Dela Rosa, Derek Hao Hu, and Shih-Fu Chang · 2021
Cited alongside, same era.
Omni3d: A large benchmark and model for 3d object detection in the wild
Garrick Brazil, Julian Straub, Nikhila Ravi, Justin Johnson, and Georgia Gkioxari · 2022
Semantic abstraction: Open-world 3d scene understanding from 2d vision-language models
Huy Ha and Shuran Song · 2022
Later among the works it cites.
Language-driven semantic segmentation
Boyi Li, Kilian Q Weinberger, Serge Belongie, Vladlen Koltun, and René Ranftl · 2022
Later among the works it cites.
Openscene: 3d scene understanding with open vocabularies
Songyou Peng, Kyle Genova, Chiyu Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas Funkhouser, et al · 2022
Later among the works it cites.
Voxformer: Sparse voxel transformer for camera-based 3d semantic scene completion
Yiming Li, Zhiding Yu, Christopher Choy, Chaowei Xiao, Jose M Alvarez, Sanja Fidler, Chen Feng, and Anima Anandkumar · 2023
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Occdepth: A depth-aware method for 3d semantic scene completion
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Cited alongside, same era.
Monoscene: Monocular 3d semantic scene completion
Anh-Quan Cao and Raoul de Charette · 2022
Cited alongside, same era.
Scaling open-vocabulary image segmentation with image-level labels
Golnaz Ghiasi, Xiuye Gu, Yin Cui, and Tsung-Yi Lin · 2022
Cited alongside, same era.
Tri-perspective view for vision-based 3d semantic occupancy prediction
Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, and Jiwen Lu
Cited in the paper.
Tri-perspective view for vision-based 3d semantic occupancy prediction
Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, and Jiwen Lu
Cited in the paper.
Ruihang Miao, Weizhou Liu, Mingrui Chen, Zheng Gong, Weixin Xu, Chen Hu, and Shuchang Zhou · 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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