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We study 3D shape modeling from a single image and make contributions to it in three aspects.
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The princeton shape benchmark
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Robust 3d shape correspondence in the spectral domain
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3d generic object categorization, localization and pose estimation
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Epnp: An accurate o (n) solution to the pnp problem
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Pose estimation for category specific multiview object localization
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Building a database of 3d scenes from user annotations
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Context-based search for 3d models
M. Fisher and P. Hanrahan · 2010
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Sun database: Large-scale scene recognition from abbey to zoo
J. Xiao, J. Hays, K. A. Ehinger, A. Oliva, and A. Torralba · 2010
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Kinectfusion: real-time 3d reconstruction and interaction using a moving depth camera
S. Izadi, D. Kim, O. Hilliges, D. Molyneaux, R. A. Newcombe, P. Kohli, J. Shotton, S. Hodges, D. Freeman, A. J. Davison, and A. W. Fitzgibbon · 2011
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A category-level 3-d object dataset: Putting the kinect to work
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Product quantization for nearest neighbor search
H. Jegou, M. Douze, and C. Schmid · 2011
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A large-scale hierarchical multi-view rgb-d object dataset
K. Lai, L. Bo, X. Ren, and D. Fox · 2011
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3d object detection and viewpoint estimation with a deformable 3d cuboid model
S. Fidler, S. J. Dickinson, and R. Urtasun · 2012
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Are we ready for autonomous driving? the kitti vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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Indoor segmentation and support inference from rgbd images
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus · 2012
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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
M. Aubry, D. Maturana, A. Efros, B. Russell, and J. Sivic · 2014
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Faust: Dataset and evaluation for 3d mesh registration
F. Bogo, J. Romero, M. Loper, and M. J. Black · 2014
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Bigbird: A large-scale 3d database of object instances
A. Singh, J. Sha, K. S. Narayan, T. Achim, and P. Abbeel · 2014
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Shrec’17 track: large-scale 3d shape retrieval from shapenet core55
M. Savva, F. Yu, H. Su, M. Aono, B. Chen, D. Cohen-Or, W. Deng, H. Su, S. Bai, X. Bai, et al · 2016
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Multi-view 3d models from single images with a convolutional network
M. Tatarchenko, A. Dosovitskiy, and T. Brox · 2016
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Single image 3d interpreter network
J. Wu, T. Xue, J. J. Lim, Y. Tian, J. B. Tenenbaum, A. Torralba, and W. T. Freeman · 2016
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Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
J. Wu, C. Zhang, T. Xue, W. T. Freeman, and J. B. Tenenbaum · 2016
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Objectnet3d: A large scale database for 3d object recognition
Y. Xiang, W. Kim, W. Chen, J. Ji, C. Choy, H. Su, R. Mottaghi, L. Guibas, and S. Savarese · 2016
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Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
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Beyond pascal: A benchmark for 3d object detection in the wild
Y. Xiang, R. Mottaghi, and S. Savarese · 2014
Cited alongside, same era.
Benchmarking in manipulation research: Using the yale-cmu-berkeley object and model set
B. Calli, A. Walsman, A. Singh, S. Srinivasa, P. Abbeel, and A. M. Dollar · 2015
Cited alongside, same era.
Shapenet: An information-rich 3d model repository
A. X. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, et al · 2015
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Aligning 3d models to rgb-d images of cluttered scenes
S. Gupta, P. Arbeláez, R. Girshick, and J. Malik · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Category-specific object reconstruction from a single image
A. Kar, S. Tulsiani, J. Carreira, and J. Malik · 2015
Cited alongside, same era.
X. Yan, J. Yang, E. Yumer, Y. Guo, and H. Lee · 2016
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
A. Dai, A. X. Chang, M. Savva, M. Halber, T. Funkhouser, and M. Nießner · 2017
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Learning to generate chairs, tables and cars with convolutional networks
A. Dosovitskiy, J. Springenberg, M. Tatarchenko, and T. Brox · 2017
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A point set generation network for 3d object reconstruction from a single image
H. Fan, H. Su, and L. Guibas · 2017
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Weakly supervised 3d reconstruction with adversarial constraint
J. Gwak, C. B. Choy, M. Chandraker, A. Garg, and S. Savarese · 2017
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Hierarchical surface prediction for 3d object reconstruction
C. Häne, S. Tulsiani, and J. Malik · 2017
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T-less: An rgb-d dataset for 6d pose estimation of texture-less objects
T. Hodan, P. Haluza, Š. Obdržálek, J. Matas, M. Lourakis, and X. Zabulis · 2017
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Tanks and temples: Benchmarking large-scale scene reconstruction
A. Knapitsch, J. Park, Q.-Y. Zhou, and V. Koltun · 2017
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Scenenet rgb-d: Can 5m synthetic images beat generic imagenet pre-training on indoor segmentation?
J. McCormac, A. Handa, S. Leutenegger, and A. J. Davison · 2017
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Learning 3d object categories by looking around them
D. Novotny, D. Larlus, and A. Vedaldi · 2017
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Synthesizing 3d shapes via modeling multi-view depth maps and silhouettes with deep generative networks
A. A. Soltani, H. Huang, J. Wu, T. D. Kulkarni, and J. B. Tenenbaum · 2017
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Semantic scene completion from a single depth image
S. Song, F. Yu, A. Zeng, A. X. Chang, M. Savva, and T. Funkhouser · 2017
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Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs
M. Tatarchenko, A. Dosovitskiy, and T. Brox · 2017
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Multi-view supervision for single-view reconstruction via differentiable ray consistency
S. Tulsiani, T. Zhou, A. A. Efros, and J. Malik · 2017
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MarrNet: 3D Shape Reconstruction via 2.5D Sketches
J. Wu, Y. Wang, T. Xue, X. Sun, W. T. Freeman, and J. B. Tenenbaum · 2017
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Large-scale 3d shape reconstruction and segmentation from shapenet core55
L. Yi, H. Su, L. Shao, M. Savva, H. Huang, Y. Zhou, B. Graham, M. Engelcke, R. Klokov, V. Lempitsky, et al · 2017
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AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
T. Groueix, M. Fisher, V. G. Kim, B. Russell, and M. Aubry · 2018
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