Fetching the paper…
Reading the bibliography…
3D reconstruction from images is a core problem in computer vision.
A method for registration of 3-d shapes. ieee trans pattern anal mach intell
Paul Besl and H.D. McKay · 1992
Earlier work this paper cites.
Mitsuba renderer
Wenzel Jakob · 2010
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
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
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P.Fischer, and T. Brox · 2015
Earlier work this paper cites.
Multi-view 3d models from single images with a convolutional network
Maxim Tatarchenko, Alexey Dosovitskiy, and Thomas Brox · 2015
Earlier work this paper cites.
3d-r2n2: A unified approach for single and multi-view 3d object reconstruction
Christopher Bongsoo Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese · 2016
Earlier work this paper cites.
A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J. Guibas · 2016
Earlier work this paper cites.
Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, and Honglak Lee · 2016
Earlier work this paper cites.
Shape completion using 3d-encoder-predictor cnns and shape synthesis
Angela Dai, Charles Ruizhongtai Qi, and Matthias Nießner · 2017
Earlier work this paper cites.
A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J. Guibas · 2017
Earlier work this paper cites.
Hierarchical surface prediction for 3D object reconstruction
Christian Hane, Shubham Tulsiani, and Jitendra Malik · 2017
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros · 2017
Cited alongside, same era.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2017
Cited alongside, same era.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J. Guibas · 2017
Cited alongside, same era.
Octree generating networks: Efficient convolutional architectures for high-resolution 3D outputs
Maxim Tatarchenko, Alexey Dosovitskiy, and Thomas Brox · 2017
Cited alongside, same era.
Foldingnet: Interpretable unsupervised learning on 3d point clouds
Yaoqing Yang, Chen Feng, Yiru Shen, and Dong Tian · 2017
Cited alongside, same era.
Pixel2mesh: Generating 3D mesh models from single RGB images
Nanyang Wang, Yinda Zhang, Zhuwen Li, Yanwei Fu, Wei Liu, and Yu-Gang Jiang · 2018
Later among the works it cites.
Pcn: Point completion network
Wentao Yuan, Tejas Khot, David Held, Christoph Mertz, and Martial Hebert · 2018
Later among the works it cites.
Inferring point clouds from single monocular images by depth intermediation
Wei Zeng, Sezer Karaoglu, and Theo Gevers · 2018
Later among the works it cites.
Learning to reconstruct shapes from unseen classes
Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Josh Tenenbaum, Bill Freeman, and Jiajun Wu · 2018
Later among the works it cites.
Visual object networks: Image generation with disentangled 3d representations
Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, and Bill Freeman · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Learning representations and generative models for 3d point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas J. Guibas · 2018
Cited alongside, same era.
Learning category-specific mesh reconstruction from image collections
Angjoo Kanazawa, Shubham Tulsiani, Alexei A. Efros, and Jitendra Malik · 2018
Cited alongside, same era.
Learning efficient point cloud generation for dense 3d object reconstruction
Chen-Hsuan Lin, Chen Kong, and Simon Lucey · 2018
Cited alongside, same era.
Priyanka Mandikal, K L Navaneet, Mayank Agarwal, and R. Venkatesh Babu · 2018
Cited alongside, same era.
Pix3d: Dataset and methods for single-image 3d shape modeling
Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, and William T. Freeman · 2018
Cited alongside, same era.
Multi-view consistency as supervisory signal for learning shape and pose prediction
Shubham Tulsiani, Alexei A. Efros, and Jitendra Malik · 2018
Cited alongside, same era.
Tao Hu, Zhizhong Han, Abhinav Shrivastava, and Matthias Zwicker · 2019
Closest in time.
3d shape completion with multi-view consistent inference, 2019
Tao Hu, Zhizhong Han, and Matthias Zwicker · 2019
Closest in time.
Soft rasterizer: A differentiable renderer for image-based 3D reasoning
Shichen Liu, Tianye Li, Weikai Chen, and Hao Li · 2019
Closest in time.
Multiview aggregation for learning category-specific shape reconstruction
Srinath Sridhar, Davis Rempe, Julien Valentin, Sofien Bouaziz, and Leonidas J. Guibas · 2019
Closest in time.
Normalized object coordinate space for category-level 6d object pose and size estimation
He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, and Leonidas J. Guibas · 2019
Closest in time.
Conditional single-view shape generation for multi-view stereo reconstruction
Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu, and Jie Zhou · 2019
Closest in time.