Publications

    3D Vision

  • Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
    Single Image 3D Interpreter Network (web) (bibtex)
    European Conference in Computer Vision (ECCV)
    #deep learning, #self-supervised learning, #3d vision
    @article{JiajunWu:2016:770f7,
    author = {Jiajun Wu and Tianfan Xue and Joseph J. Lim and Yuandong Tian and Joshua B. Tenenbaum and Antonio Torralba and William T. Freeman},
    journal = {European Conference in Computer Vision (ECCV)},
    title = {Single Image 3D Interpreter Network},
    year = {2016},
    keywords = {deep learning, self-supervised learning, 3d vision},
    doi = {},
    url = {http://3dinterpreter.csail.mit.edu/}
    }
  • Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum:
    Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (web) (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
    #simulation, #deep learning, #generative adversarial learning, #3d vision
    @article{JiajunWu:2016:3471d,
    author = {Jiajun Wu and Chengkai Zhang and Tianfan Xue and William T. Freeman and Joshua B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling},
    year = {2016},
    keywords = {simulation, deep learning, generative adversarial learning, 3d vision},
    doi = {},
    url = {http://3dgan.csail.mit.edu/}
    }
  • Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, William T. Freeman, Joshua B. Tenenbaum:
    MarrNet: 3D Shape Reconstruction via 2.5D Sketches (web) (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
    #3d vision, #deep learning
    @article{JiajunWu:2017:cfe2b,
    author = {Jiajun Wu and Yifan Wang and Tianfan Xue and Xingyuan Sun and William T. Freeman and Joshua B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {MarrNet: 3D Shape Reconstruction via 2.5D Sketches},
    year = {2017},
    keywords = {3d vision, deep learning},
    doi = {},
    url = {http://marrnet.csail.mit.edu/}
    }
  • Tejas D Kulkarni, Pushmeet Kohli, Joshua B Tenenbaum, Vikash Mansinghka:
    Picture : A Probabilistic Programming Language for Scene Perception (pdf) (doi) (bibtex)
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
    #analysis-by-synthesis, #inference, #deep learning, #inverse vision, #3d vision, #probabilistic programming
    @article{TejasDKulkarni:2015:cf27d,
    author = {Tejas D Kulkarni and Pushmeet Kohli and Joshua B Tenenbaum and Vikash Mansinghka},
    journal = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    title = {Picture : A Probabilistic Programming Language for Scene Perception},
    year = {2015},
    keywords = {analysis-by-synthesis, inference, deep learning, inverse vision, 3d vision, probabilistic programming},
    doi = {10.1109/CVPR.2015.7299068},
    url = {http://openaccess.thecvf.com/content_cvpr_2015/papers/Kulkarni_Picture_A_Probabilistic_2015_CVPR_paper.pdf}
    }
  • Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman:
    Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling (web) (bibtex)
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    #3d vision, #deep learning
    @article{XingyuanSun:2018:02ad6,
    author = {Xingyuan Sun and Jiajun Wu and Xiuming Zhang and Zhoutong Zhang and Chengkai Zhang and Tianfan Xue and Joshua B. Tenenbaum and William T. Freeman},
    journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    title = {Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling},
    year = {2018},
    keywords = {3d vision, deep learning},
    doi = {},
    url = {http://pix3d.csail.mit.edu}
    }
  • Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, Edward H. Adelson:
    3D Shape Perception from Monocular Vision, Touch, and Shape Priors (web) (bibtex)
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    #3d vision, #multi-modal learning, #deep learning
    @article{ShaoxiongWang:2018:158c4,
    author = {Shaoxiong Wang and Jiajun Wu and Xingyuan Sun and Wenzhen Yuan and William T. Freeman and Joshua B. Tenenbaum and Edward H. Adelson},
    journal = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
    title = {3D Shape Perception from Monocular Vision, Touch, and Shape Priors},
    year = {2018},
    keywords = {3d vision, multi-modal learning, deep learning},
    doi = {},
    url = {http://touch.csail.mit.edu}
    }
  • Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
    Learning Shape Priors for Single-View 3D Completion and Reconstruction (web) (bibtex)
    European Conference on Computer Vision (ECCV)
    #3d vision, #deep learning
    @article{JiajunWu:2018:11782,
    author = {Jiajun Wu and Chengkai Zhang and Xiuming Zhang and Zhoutong Zhang and William T. Freeman and Joshua B. Tenenbaum},
    journal = {European Conference on Computer Vision (ECCV)},
    title = {Learning Shape Priors for Single-View 3D Completion and Reconstruction},
    year = {2018},
    keywords = {3d vision, deep learning},
    doi = {},
    url = {http://shapehd.csail.mit.edu/}
    }
  • Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
    Physical Primitive Decomposition (web) (bibtex)
    European Conference on Computer Vision (ECCV)
    #3d vision, #deep learning, #intuitive physics
    @article{ZhijianLiu:2018:7414d,
    author = {Zhijian Liu and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {European Conference on Computer Vision (ECCV)},
    title = {Physical Primitive Decomposition},
    year = {2018},
    keywords = {3d vision, deep learning, intuitive physics},
    doi = {},
    url = {http://ppd.csail.mit.edu/}
    }
  • Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, William T. Freeman, Joshua B. Tenenbaum:
    3D-Aware Scene Manipulation via Inverse Graphics (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
    #3d vision, #deep learning, #scene understanding
    @article{ShunyuYao:2018:89f01,
    author = {Shunyu Yao and Tzu-Ming Harry Hsu and Jun-Yan Zhu and Jiajun Wu and Antonio Torralba and William T. Freeman and Joshua B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {3D-Aware Scene Manipulation via Inverse Graphics},
    year = {2018},
    keywords = {3d vision, deep learning, scene understanding},
    doi = {},
    url = {}
    }
  • Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
    Learning to Reconstruct Shapes from Unseen Categories (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
    #3d vision, #deep learning
    @article{XiumingZhang:2018:596f7,
    author = {Xiuming Zhang and Zhoutong Zhang and Chengkai Zhang and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Learning to Reconstruct Shapes from Unseen Categories},
    year = {2018},
    keywords = {3d vision, deep learning},
    doi = {},
    url = {}
    }
  • Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
    Learning to Exploit Stability for 3D Scene Parsing (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
    #3d vision, #deep learning, #scene understanding
    @article{YilunDu:2018:dc7d0,
    author = {Yilun Du and Zhijian Liu and Hector Basevi and Ales Leonardis and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Learning to Exploit Stability for 3D Scene Parsing},
    year = {2018},
    keywords = {3d vision, deep learning, scene understanding},
    doi = {},
    url = {}
    }
  • Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman:
    Visual Object Networks: Image Generation with Disentangled 3D Representations (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
    #3d vision, #deep learning
    @article{Jun-YanZhu:2018:3ee07,
    author = {Jun-Yan Zhu and Zhoutong Zhang and Chengkai Zhang and Jiajun Wu and Antonio Torralba and Joshua B. Tenenbaum and William T. Freeman},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Visual Object Networks: Image Generation with Disentangled 3D Representations},
    year = {2018},
    keywords = {3d vision, deep learning},
    doi = {},
    url = {}
    }
  • Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
    3D Interpreter Networks for Viewer-Centered Wireframe Modeling (web) (bibtex)
    International Journal of Computer Vision (IJCV)
    #3d vision, #deep learning
    @article{JiajunWu:2018:ad749,
    author = {Jiajun Wu and Tianfan Xue and Joseph J. Lim and Yuandong Tian and Joshua B. Tenenbaum and Antonio Torralba and William T. Freeman},
    journal = {International Journal of Computer Vision (IJCV)},
    title = {3D Interpreter Networks for Viewer-Centered Wireframe Modeling},
    year = {2018},
    keywords = {3d vision, deep learning},
    doi = {},
    url = {http://3dinterpreter.csail.mit.edu/}
    }
  • Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D Kulkarni, Joshua B Tenenbaum:
    Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative (web) (doi) (bibtex)
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    #2d to 3d, #3d vision, #3d generation, #3d reconstruction, #inverse vision, #scene understanding, #deep learning
    @article{AmirArsalanSoltani:2017:4a1d2,
    author = {Amir Arsalan Soltani and Haibin Huang and Jiajun Wu and Tejas D Kulkarni and Joshua B Tenenbaum},
    journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    title = {Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative },
    year = {2017},
    keywords = {2d to 3d, 3d vision, 3d generation, 3d reconstruction, inverse vision, scene understanding, deep learning},
    doi = {10.1109/CVPR.2017.269},
    url = {https://github.com/Amir-Arsalan/Synthesize3DviaDepthOrSil}
    }

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