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We introduce SDM-NET, a deep generative neural network which produces structured deformable meshes.
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Haoqiang Fan, Hao Su, and Leonidas J Guibas. 2017 · 2017
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GRASS: Generative Recursive Autoencoders for Shape Structures
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Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J. Guibas. 2017 · 2017
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Learning Generative Models of 3D Structures. In Eurographics Tutorial
Siddhartha Chaudhuri, Daniel Ritchie, Kai Xu, and Hao Zhang. 2019 · 2019
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Learning implicit fields for generative shape modeling. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Zhiqin Chen and Hao Zhang. 2019 · 2019
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Sparse Data Driven Mesh Deformation
Lin Gao, Yu-Kun Lai, Jie Yang, Ling-Xiao Zhang, Shihong Xia, and Leif Kobbelt. 2019 · 2019
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MeshCNN: A Network with an Edge
Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, and Daniel Cohen-Or. 2019 · 2019
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VV-Net: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation. In 2019 IEEE International Conference on Computer Vision (ICCV)
Hsien-Yu Meng, Lin Gao, Yu-Kun Lai, and Dinesh Manocha. 2019 · 2019
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Occupancy networks: Learning 3d reconstruction in function space. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger. 2019 · 2019
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StructureNet: Hierarchical Graph Networks for 3D Shape Generation
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, and Leonidas Guibas. 2019a · 2019
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DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove. 2019 · 2019
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SAGNet: Structure-aware Generative Network for 3D-Shape Modeling
Zhijie Wu, Xiang Wang, Di Lin, Dani Lischinski, Daniel Cohen-Or, and Hui Huang. 2019 · 2019
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Support Substructures: Support-Induced Part-Level Structural Representation
Shi-Sheng Huang, Hongbo Fu, Ling-Yu Wei, and Shi-Min Hu. 2016 · 2036
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Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. In IEEE International Conference on Computer Vision (ICCV)
Maxim Tatarchenko, Alexey Dosovitskiy, and Thomas Brox. 2017 · 2096
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