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3D perception of object shapes from RGB image input is fundamental towards semantic scene understanding, grounding image-based perception in our spatially 3-dimensional real-world environments.
Machine perception of three-dimensional solids
Lawrence G Roberts · 1963
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Survey of model-based image analysis systems
Thomas O Binford · 1982
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Model-based recognition in robot vision
Roland T Chin and Charles R Dyer · 1986
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Robust estimation of a location parameter
Peter J Huber · 1992
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On visual similarity based 3d model retrieval
Ding-Yun Chen, Xiao-Pei Tian, Yu-Te Shen, and Ming Ouhyoung · 2003
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A search-classify approach for cluttered indoor scene understanding
Liangliang Nan, Ke Xie, and Andrei Sharf · 2012
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An interactive approach to semantic modeling of indoor scenes with an rgbd camera
Tianjia Shao, Weiwei Xu, Kun Zhou, Jingdong Wang, Dongping Li, and Baining Guo · 2012
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Guided real-time scanning of indoor objects
Young Min Kim, Niloy J Mitra, Qixing Huang, and Leonidas Guibas · 2013
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Parsing ikea objects: Fine pose estimation
J.J. Lim, H. Pirsiavash, and A. Torralba · 2013
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Seeing 3d chairs: exemplar part-based 2d-3d alignment using a large dataset of cad models
Mathieu Aubry, Daniel Maturana, Alexei A Efros, Bryan C Russell, and Josef Sivic · 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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Fast r-cnn
Ross Girshick · 2015
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Single-view reconstruction via joint analysis of image and shape collections
Qixing Huang, Hai Wang, and Vladlen Koltun · 2015
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Database-assisted object retrieval for real-time 3d reconstruction
Yangyan Li, Angela Dai, Leonidas Guibas, and Matthias Nießner · 2015
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Joint embeddings of shapes and images via cnn image purification
Yangyan Li, Hao Su, Charles Ruizhongtai Qi, Noa Fish, Daniel Cohen-Or, and Leonidas J Guibas · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Sun rgb-d: A rgb-d scene understanding benchmark suite
Shuran Song, Samuel P Lichtenberg, and Jianxiong Xiao · 2015
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Marr revisited: 2d-3d alignment via surface normal prediction
Aayush Bansal, Bryan Russell, and Abhinav Gupta · 2016
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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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
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Deep exemplar 2d-3d detection by adapting from real to rendered views
Francisco Massa, Bryan C Russell, and Mathieu Aubry · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, and Josh Tenenbaum · 2016
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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
Scan2mesh: From unstructured range scans to 3d meshes
Angela Dai and Matthias Nießner · 2019
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Centernet: Keypoint triplets for object detection
Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, and Qi Tian · 2019
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Learning local rgb-to-cad correspondences for object pose estimation
Georgios Georgakis, Srikrishna Karanam, Ziyan Wu, and Jana Kosecka · 2019
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Mesh r-cnn
Georgia Gkioxari, Jitendra Malik, and Justin Johnson · 2019
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Location field descriptors: Single image 3d model retrieval in the wild
Alexander Grabner, Peter M Roth, and Vincent Lepetit · 2019
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Shapemask: Learning to segment novel objects by refining shape priors
Weicheng Kuo, Anelia Angelova, Jitendra Malik, and Tsung-Yi Lin · 2019
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A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Octnet: Learning deep 3d representations at high resolutions
Gernot Riegler, Ali Osman Ulusoy, and Andreas Geiger · 2017
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Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs
Maxim Tatarchenko, Alexey Dosovitskiy, and Thomas Brox · 2017
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
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What do single-view 3d reconstruction networks learn?
Maxim Tatarchenko, Stephan R Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, and Thomas Brox · 2019
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Pixel2mesh++: Multi-view 3d mesh generation via deformation
Chao Wen, Yinda Zhang, Zhuwen Li, and Yanwei Fu · 2019
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Pointflow: 3d point cloud generation with continuous normalizing flows
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, and Bharath Hariharan · 2019
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Scenecad: Predicting object alignments and layouts in rgb-d scans
Armen Avetisyan, Tatiana Khanova, Christopher Choy, Denver Dash, Angela Dai, and Matthias Nießner · 2020
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Cvxnet: Learnable convex decomposition
Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey Hinton, and Andrea Tagliasacchi · 2020
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3d scene reconstruction from a single viewport
Maximilian Denninger and Rudolph Triebel · 2020
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Scene recomposition by learning-based icp
Hamid Izadinia and Steven M Seitz · 2020
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Mask2CAD: 3D shape prediction by learning to segment and retrieve
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, and Angela Dai · 2020
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Total3dunderstanding: Joint layout, object pose and mesh reconstruction for indoor scenes from a single image
Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, and Jian Jun Zhang · 2020
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Rethinking classification and localization for object detection
Yue Wu, Yinpeng Chen, Zicheng Liu Lu Yuan, Lijuan Wang, Hongzhi Li, and Yun Fu · 2020
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