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In the field of 3D scene understanding, 3D scene graphs have emerged as a new scene representation that combines geometric and semantic information about objects and their relationships.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Shapenet: An information-rich 3d model repository
Angel X. Chang, Thomas A. Funkhouser, Leonidas J. Guibas, Pat Hanrahan, Qi-Xing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
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Image retrieval using scene graphs
Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David Shamma, Michael Bernstein, and Li Fei-Fei · 2015
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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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Graph representation for two-dimensional scene understanding by the cognitive vision module
Andrzej Bielecki and Piotr Śmigielski · 2016
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Visual relationship detection with language priors
Cewu Lu, Ranjay Krishna, Michael Bernstein, and Li Fei-Fei · 2016
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Joint 2d-3d-semantic data for indoor scene understanding
Iro Armeni, Sasha Sax, Amir R. Zamir, and Silvio Savarese · 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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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2017
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A Shamma, et al · 2017
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Scene graph generation from objects, phrases and region captions
Yikang Li, Wanli Ouyang, Bolei Zhou, Kun Wang, and Xiaogang Wang · 2017
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3d pose regression using convolutional neural networks
Siddharth Mahendran, Haider Ali, and Rene Vidal · 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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Scene graph generation by iterative message passing
Danfei Xu, Yuke Zhu, Christopher B. Choy, and Li Fei-Fei · 2017
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Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans
Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, and Matthias Nießner · 2018
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A papier-mâché approach to learning 3d surface generation
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, and Mathieu Aubry · 2018
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Mapping images to scene graphs with permutation-invariant structured prediction
Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, and Amir Globerson · 2018
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Image generation from scene graphs
Justin Johnson, Agrim Gupta, and Li Fei-Fei · 2018
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Factorizable net: An efficient subgraph-based framework for scene graph generation
Yikang Li, Wanli Ouyang, Bolei Zhou, Jianping Shi, Chao Zhang, and Xiaogang Wang · 2018
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Linknet: Relational embedding for scene graph
Sanghyun Woo, Dahun Kim, Donghyeon Cho, and In So Kweon · 2018
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Graph r-cnn for scene graph generation
Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, and Devi Parikh · 2018
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Zoom-net: Mining deep feature interactions for visual relationship recognition
Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao, and Chen Change Loy · 2018
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Neural motifs: Scene graph parsing with global context
Rowan Zellers, Mark Yatskar, Sam Thomson, and Yejin Choi · 2018
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3d scene graph: A structure for unified semantics, 3d space, and camera
Iro Armeni, Zhi-Yang He, JunYoung Gwak, Amir R. Zamir, Martin Fischer, Jitendra Malik, and Silvio Savarese · 2019
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Specifying object attributes and relations in interactive scene generation
Oron Ashual and Lior Wolf · 2019
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Knowledge-embedded routing network for scene graph generation
Tianshui Chen, Weihao Yu, Riquan Chen, and Liang Lin · 2019
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4d spatio-temporal convnets: Minkowski convolutional neural networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
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Grains: Generative recursive autoencoders for indoor scenes
Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, and Hao Zhang · 2019
Spatio-temporal self-supervised representation learning for 3d point clouds
Siyuan Huang, Yichen Xie, Song-Chun Zhu, and Yixin Zhu · 2021
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Bipartite graph network with adaptive message passing for unbiased scene graph generation
Rongjie Li, Songyang Zhang, Bo Wan, and Xuming He · 2021
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Diffusion probabilistic models for 3d point cloud generation
Shitong Luo and Wei Hu · 2021
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Classification by attention: Scene graph classification with prior knowledge
Sahand Sharifzadeh, Sina Moayed Baharlou, and Volker Tresp · 2021
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Energy-based learning for scene graph generation
Mohammed Suhail, Abhay Mittal, Behjat Siddiquie, Chris Broaddus, Jayan Eledath, Gerard Medioni, and Leonid Sigal · 2021
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Scenegraphfusion: Incremental 3d scene graph prediction from rgb-d sequences
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Attentive relational networks for mapping images to scene graphs
Mengshi Qi, Weijian Li, Zhengyuan Yang, Yunhong Wang, and Jiebo Luo · 2019
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Rio: 3d object instance re-localization in changing indoor environments
Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, and Matthias Niessner · 2019
Cited alongside, same era.
Planit: Planning and instantiating indoor scenes with relation graph and spatial prior networks
Kai Wang, Yu-An Lin, Ben Weissmann, Manolis Savva, Angel X. Chang, and Daniel Ritchie · 2019
Cited alongside, same era.
Pointflow: 3d point cloud generation with continuous normalizing flows
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, and Bharath Hariharan · 2019
Cited alongside, same era.
Learning gradient fields for shape generation
Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, and Bharath Hariharan · 2020
Cited alongside, same era.
Sg-nn: Sparse generative neural networks for self-supervised scene completion of rgb-d scans
Angela Dai, Christian Diller, and Matthias Niessner · 2020
Cited alongside, same era.
Shun-Cheng Wu, Johanna Wald, Keisuke Tateno, Nassir Navab, and Federico Tombari · 2021
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Exploiting edge-oriented reasoning for 3d point-based scene graph analysis
Chaoyi Zhang, Jianhui Yu, Yang Song, and Weidong Cai · 2021
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Knowledge-inspired 3d scene graph prediction in point cloud
Shoulong Zhang, Shuai Li, Aimin Hao, and Hong Qin · 2021
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Self-supervised pretraining of 3d features on any point-cloud
Zaiwei Zhang, Rohit Girdhar, Armand Joulin, and Ishan Misra · 2021
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Taskography: Evaluating robot task planning over large 3d scene graphs
Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, and Florian Shkurti · 2022
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4dcontrast: Contrastive learning with dynamic correspondences for 3d scene understanding
Yujin Chen, Matthias Nießner, and Angela Dai · 2022
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Learning 3d object shape and layout without 3d supervision
Georgia Gkioxari, Nikhila Ravi, and Justin Johnson · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Hydra: A real-time spatial perception system for 3D scene graph construction and optimization
N. Hughes, Y. Chang, and L. Carlone · 2022
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Explore contextual information for 3d scene graph generation
Yuanyuan Liu, Chengjiang Long, Zhaoxuan Zhang, Bokai Liu, Qiang Zhang, Baocai Yin, and Xin Yang · 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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Learning 3d semantic scene graphs with instance embeddings
Johanna Wald, Nassir Navab, and Federico Tombari · 2022
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Implicit autoencoder for point cloud self-supervised representation learning
Siming Yan, Zhenpei Yang, Haoxiang Li, Li Guan, Hao Kang, Gang Hua, and Qixing Huang · 2022
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Revisiting transformer for point cloud-based 3d scene graph generation
Changsheng Lv, Mengshi Qi, Xia Li, Zhengyuan Yang, and Huadong Ma · 2023
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Sgaligner : 3d scene alignment with scene graphs
Sayan Deb Sarkar, Ondrej Miksik, Marc Pollefeys, Daniel Barath, and Iro Armeni · 2023
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Ziqin Wang, Bowen Cheng, Lichen Zhao, Dong Xu, Yang Tang, and Lu Sheng · 2023
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Incremental 3d semantic scene graph prediction from rgb sequences
Shun-Cheng Wu, Keisuke Tateno, Nassir Navab, and Federico Tombari · 2023
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