Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
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Thomas Brox | Alexey Dosovitskiy | Maxim Tatarchenko | T. Brox | A. Dosovitskiy | Maxim Tatarchenko | Alexey Dosovitskiy
[1] Irene Gargantini,et al. Linear octtrees for fast processing of three-dimensional objects , 1982, Comput. Graph. Image Process..
[2] C. Ian Connolly,et al. Cumulative generation of octree models from range data , 1984, ICRA.
[3] Michael M. Kazhdan,et al. Poisson surface reconstruction , 2006, SGP '06.
[4] Simon Fuhrmann,et al. Fusion of depth maps with multiple scales , 2011, ACM Trans. Graph..
[5] Gabriel Taubin,et al. SSD: Smooth Signed Distance Surface Reconstruction , 2011, Comput. Graph. Forum.
[6] Michael J. Black,et al. FAUST: Dataset and Evaluation for 3D Mesh Registration , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[8] Benjamin Graham,et al. Spatially-sparse convolutional neural networks , 2014, ArXiv.
[9] Daniel Cremers,et al. Volumetric 3D mapping in real-time on a CPU , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[10] Ben Graham,et al. Sparse 3D convolutional neural networks , 2015, BMVC.
[11] Jianxiong Xiao,et al. 3D ShapeNets: A deep representation for volumetric shapes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Leonidas J. Guibas,et al. ShapeNet: An Information-Rich 3D Model Repository , 2015, ArXiv.
[13] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[14] Pierre Vandergheynst,et al. Geodesic Convolutional Neural Networks on Riemannian Manifolds , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[15] Thomas Brox,et al. Global, Dense Multiscale Reconstruction for a Billion Points , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[16] Thomas Brox,et al. FlowNet: Learning Optical Flow with Convolutional Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[17] Seunghoon Hong,et al. Learning Deconvolution Network for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[18] Max Jaderberg,et al. Unsupervised Learning of 3D Structure from Images , 2016, NIPS.
[19] Abhinav Gupta,et al. Learning a Predictable and Generative Vector Representation for Objects , 2016, ECCV.
[20] Jiajun Wu,et al. Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling , 2016, NIPS.
[21] Thomas Brox,et al. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.
[22] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[23] Thomas Brox,et al. Multi-view 3D Models from Single Images with a Convolutional Network , 2015, ECCV.
[24] Niloy J. Mitra,et al. Learning Semantic Deformation Flows with 3D Convolutional Networks , 2016, ECCV.
[25] Marcel van Gerven,et al. Deep disentangled representations for volumetric reconstruction , 2016, ECCV Workshops.
[26] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[27] Rozenn Dahyot,et al. Deep Shape from a Low Number of Silhouettes , 2016, ECCV Workshops.
[28] Silvio Savarese,et al. 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction , 2016, ECCV.
[29] Karthik Ramani,et al. Deep Learning 3D Shape Surfaces Using Geometry Images , 2016, ECCV.
[30] Hao Chen,et al. VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation , 2016, ArXiv.
[31] Honglak Lee,et al. Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision , 2016, NIPS.
[32] Oliver Grau,et al. VConv-DAE: Deep Volumetric Shape Learning Without Object Labels , 2016, ECCV Workshops.
[33] Thomas Brox,et al. Learning to Generate Chairs, Tables and Cars with Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Hao Su,et al. A Point Set Generation Network for 3D Object Reconstruction from a Single Image , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Gernot Riegler,et al. OctNet: Learning Deep 3D Representations at High Resolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Leonidas J. Guibas,et al. SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Leonidas J. Guibas,et al. Learning Shape Abstractions by Assembling Volumetric Primitives , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Leonidas J. Guibas,et al. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Subhransu Maji,et al. 3D Shape Induction from 2D Views of Multiple Objects , 2016, 2017 International Conference on 3D Vision (3DV).