Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

24 October 2016

Jiajun Wu

Papers citing "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling"

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Title
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 16 8 0 30 Nov 2019
Compressing Representations for Embedded Deep Learning Juliano S. Assine Alan Godoy Eduardo Valle 18 3 0 23 Nov 2019
Learning Permutation Invariant Representations using Memory Networks Shivam Kalra Mohammed Adnan Graham W. Taylor Hamid Tizhoosh 24 23 0 18 Nov 2019
On the Benefit of Adversarial Training for Monocular Depth Estimation R. Groenendijk Sezer Karaoglu Theo Gevers Thomas Mensink GAN MDE 12 29 0 29 Oct 2019
PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models Lin Gao Ling-Xiao Zhang Hsien-Yu Meng Yi Ren Yu-Kun Lai Leif Kobbelt 3DV 26 45 0 15 Oct 2019
Unsupervised Generative 3D Shape Learning from Natural Images Attila Szabó Givi Meishvili Paolo Favaro GAN 3DH 3DV 17 69 0 01 Oct 2019
SegMap: Segment-based mapping and localization using data-driven descriptors Renaud Dubé Andrei Cramariuc Daniel Dugas H. Sommer Marcin Dymczyk Juan I. Nieto Roland Siegwart Cesar Cadena 24 179 0 27 Sep 2019
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis Atsuhiro Noguchi Tatsuya Harada GAN 37 30 0 27 Sep 2019
CvxNet: Learnable Convex Decomposition Boyang Deng Kyle Genova S. Yazdani Sofien Bouaziz Geoffrey E. Hinton Andrea Tagliasacchi 36 252 0 12 Sep 2019
Exploring Temporal Differences in 3D Convolutional Neural Networks Gagan Kanojia Sudhakar Kumawat Shanmuganathan Raman 3DPC AI4TS 21 3 0 07 Sep 2019
ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image Yida Wang D. Tan Nassir Navab Federico Tombari 3DV 3DPC 25 56 0 03 Sep 2019
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures Jordan Hoffmann Louis Maestrati Yoshihide Sawada Jian Tang Jean Michel D. Sellier Yoshua Bengio DiffM 3DV 25 66 0 03 Sep 2019
Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma S. Berchuck Felipe A. Medeiros S. Mukherjee BDL 26 3 0 24 Aug 2019
DeepSketchHair: Deep Sketch-based 3D Hair Modeling Yuefan Shen Changgeng Zhang Hongbo Fu Kun Zhou Youyi Zheng 3DV 3DH 31 39 0 20 Aug 2019
Mesh Variational Autoencoders with Edge Contraction Pooling Yu-Jie Yuan Yu-Kun Lai J. Yang Hongbo Fu Lin Gao 3DPC 31 31 0 07 Aug 2019
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation Chao Wen Yinda Zhang Zhuwen Li Yanwei Fu 3DV 24 236 0 05 Aug 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation Kaichun Mo Paul Guerrero L. Yi Hao Su Peter Wonka Niloy Mitra Leonidas J. Guibas 3DPC 33 133 0 01 Aug 2019
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction Zhizhong Han Xiyang Wang Yu-Shen Liu Matthias Zwicker 3DPC 27 144 0 30 Jul 2019
FMRI data augmentation via synthesis Peiye Zhuang A. Schwing Oluwasanmi Koyejo DiffM MedIm 24 43 0 13 Jul 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming-Yu Liu Serge J. Belongie Bharath Hariharan 3DPC 40 656 0 28 Jun 2019
Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery A. Abdi Mehran Pesteie E. Prisman Purang Abolmaesumi S. Fels 25 14 0 27 Jun 2019
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization I. Lim Moritz Ibing Leif Kobbelt 3DPC 3DV 27 15 0 27 Jun 2019
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks Xinchen Yan Mohi Khansari Jasmine Hsu Yuanzheng Gong Yunfei Bai Soren Pirk Honglak Lee 3DPC 13 32 0 21 Jun 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder Jiapeng Zhu Deli Zhao Bo-Wen Zhang Bolei Zhou GAN DRL 30 35 0 19 Jun 2019
Learning Part Generation and Assembly for Structure-aware Shape Synthesis Jun Li Chengjie Niu Kai Xu 3DPC 19 74 0 16 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 77 1,266 0 04 Jun 2019
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules Niklas W. A. Gebauer M. Gastegger Kristof T. Schütt 35 201 0 02 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation Jianxin Lin Yijun Wang Tianyu He Zhibo Chen 19 8 0 01 Jun 2019
Texture Fields: Learning Texture Representations in Function Space Michael Oechsle L. Mescheder Michael Niemeyer Thilo Strauss Andreas Geiger 3DH 3DV 50 296 0 17 May 2019
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering Siheng Chen Chaojing Duan Yaoqing Yang Duanshun Li Chen Feng Dong Tian 3DPC 29 71 0 11 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation Giorgos Bouritsas Sergiy Bokhnyak Stylianos Ploumpis M. Bronstein S. Zafeiriou MedIm 3DH 26 161 0 08 May 2019
Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids Despoina Paschalidou Ali O. Ulusoy Andreas Geiger 16 193 0 22 Apr 2019
Fashion++: Minimal Edits for Outfit Improvement Wei-Lin Hsiao Isay Katsman Chao-Yuan Wu Devi Parikh Kristen Grauman 18 67 0 19 Apr 2019
Transformable Bottleneck Networks Kyle Olszewski Sergey Tulyakov Oliver J. Woodford Hao Li Linjie Luo 37 77 0 13 Apr 2019
Learning Shape Templates with Structured Implicit Functions Kyle Genova Forrester Cole Daniel Vlasic Aaron Sarna William T. Freeman Thomas Funkhouser 3DV 33 381 0 12 Apr 2019
Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search Cameron R. Wolfe C. Tutum Risto Miikkulainen AI4CE 19 1 0 25 Mar 2019
SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding Ilke Demir Camilla Hahn Kathryn Leonard Géraldine Morin Dana Rahbani A. Panotopoulou Amélie Fondevilla Elena Balashova Bastien Durix Adam Kortylewski 3DPC 14 32 0 21 Mar 2019
A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images Jiapeng Tang Xiaoguang Han J. Pan Kui Jia Xin Tong 3DH 3DV 24 86 0 12 Mar 2019
Towards a Uniform Architecture for the Efficient Implementation of 2D and 3D Deconvolutional Neural Networks on FPGAs Deguang Wang Junzhong Shen M. Wen Chunyuan Zhang 13 8 0 06 Mar 2019
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals C. Jiang Dana Lynn Ona Lansigan P. Marcus Matthias Nießner 11 11 0 30 Jan 2019
Generative Adversarial Networks for geometric surfaces prediction in injection molding Pierre Nagorny Thomas Lacombe H. Favrelière Maurice Pillet É. Pairel R. Goff Marlène Wali Jérôme Loureaux Patrice Kiener GAN AI4CE 11 2 0 29 Jan 2019
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading Paul Henderson V. Ferrari 3DV 20 127 0 19 Jan 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 29 3,616 0 16 Jan 2019
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials Despoina Paschalidou Ali O. Ulusoy Carolin Schmitt Luc van Gool Andreas Geiger 3DV 19 91 0 06 Jan 2019
Learning Implicit Fields for Generative Shape Modeling Zhiqin Chen Hao Zhang AI4CE 3DV 8 1,608 0 06 Dec 2018
Visual Object Networks: Image Generation with Disentangled 3D Representation Jun-Yan Zhu Zhoutong Zhang Chengkai Zhang Jiajun Wu Antonio Torralba J. Tenenbaum Bill Freeman DRL CoGe OCL 38 253 0 06 Dec 2018
Domain-Adaptive Single-View 3D Reconstruction Pedro H. O. Pinheiro Negar Rostamzadeh Sungjin Ahn 36 25 0 04 Dec 2018
MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image Jinglu Wang Bo Sun Yan Lu 3DPC 3DV 30 41 0 23 Nov 2018
Deep Semantic Instance Segmentation of Tree-like Structures Using Synthetic Data Marco Stricker Olivier Augereau Stephen Moore 3DPC 18 11 0 08 Nov 2018
Robustness of Conditional GANs to Noisy Labels Kerry J. Halupka A. Khetan Zinan Lin Stephen Moore NoLa 24 79 0 08 Nov 2018