MarrNet: 3D Shape Reconstruction via 2.5D Sketches
暂无分享,去创建一个
Jiajun Wu | Joshua B. Tenenbaum | Yifan Wang | Bill Freeman | Tianfan Xue | Xingyuan Sun | J. Tenenbaum | Tianfan Xue | Jiajun Wu | Bill Freeman | Xingyuan Sun | Yifan Wang
[1] Michael Schuth,et al. Shape from Shading , 2017 .
[2] Jitendra Malik,et al. Shape, Illumination, and Reflectance from Shading , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Andrew W. Fitzgibbon,et al. KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera , 2011, UIST.
[4] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Derek Hoiem,et al. Completing 3D object shape from one depth image , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Jiajun Wu,et al. Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling , 2016, NIPS.
[7] David W. Jacobs,et al. WarpNet: Weakly Supervised Matching for Single-View Reconstruction , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Honglak Lee,et al. Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision , 2016, NIPS.
[9] Krista A. Ehinger,et al. SUN database: Large-scale scene recognition from abbey to zoo , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[10] Stefan Leutenegger,et al. SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation? , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[11] Jitendra Malik,et al. Category-specific object reconstruction from a single image , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] H. Barrow,et al. RECOVERING INTRINSIC SCENE CHARACTERISTICS FROM IMAGES , 1978 .
[13] Jian Shi,et al. Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Yuandong Tian,et al. Single Image 3D Interpreter Network , 2016, ECCV.
[15] Silvio Savarese,et al. Beyond PASCAL: A benchmark for 3D object detection in the wild , 2014, IEEE Winter Conference on Applications of Computer Vision.
[16] Simon J. Julier,et al. Structured Prediction of Unobserved Voxels from a Single Depth Image , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] David G. Lowe,et al. Three-Dimensional Object Recognition from Single Two-Dimensional Images , 1987, Artif. Intell..
[18] Rob Fergus,et al. Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[19] R. Weale. Vision. A Computational Investigation Into the Human Representation and Processing of Visual Information. David Marr , 1983 .
[20] Ira Kemelmacher-Shlizerman,et al. Face Reconstruction from a Single Image using a Single Reference Face Shape , 2009 .
[21] Yair Weiss,et al. Deriving intrinsic images from image sequences , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[22] Max Jaderberg,et al. Unsupervised Learning of 3D Structure from Images , 2016, NIPS.
[23] Silvio Savarese,et al. 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction , 2016, ECCV.
[24] Derek Hoiem,et al. Indoor Segmentation and Support Inference from RGBD Images , 2012, ECCV.
[25] Weifeng Chen,et al. Single-Image Depth Perception in the Wild , 2016, NIPS.
[26] Jiajun Wu,et al. Self-Supervised Intrinsic Image Decomposition , 2017, NIPS.
[27] Ping-Sing Tsai,et al. Shape from Shading: A Survey , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[28] Antonio Torralba,et al. Parsing IKEA Objects: Fine Pose Estimation , 2013, 2013 IEEE International Conference on Computer Vision.
[29] Abhinav Gupta,et al. Learning a Predictable and Generative Vector Representation for Objects , 2016, ECCV.
[30] Jiajun Wu,et al. Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Edward H. Adelson,et al. Recovering intrinsic images from a single image , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Abhinav Gupta,et al. Marr Revisited: 2D-3D Alignment via Surface Normal Prediction , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Leonidas J. Guibas,et al. ShapeNet: An Information-Rich 3D Model Repository , 2015, ArXiv.
[34] Noah Snavely,et al. Intrinsic images in the wild , 2014, ACM Trans. Graph..
[35] Clément Farabet,et al. Torch7: A Matlab-like Environment for Machine Learning , 2011, NIPS 2011.
[36] Abhinav Gupta,et al. Designing deep networks for surface normal estimation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Alexei A. Efros,et al. Automatic photo pop-up , 2005, SIGGRAPH 2005.
[38] Thomas A. Funkhouser,et al. Semantic Scene Completion from a Single Depth Image , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Alexei A. Efros,et al. Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Matthias Nießner,et al. Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).