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"

50 / 358 papers shown

Title
Discrete Point Flow Networks for Efficient Point Cloud Generation Roman Klokov Edmond Boyer Jakob Verbeek 3DPC 26 107 0 20 Jul 2020
Accelerating 3D Deep Learning with PyTorch3D Nikhila Ravi Jeremy Reizenstein David Novotny Taylor Gordon Wan-Yen Lo Justin Johnson Georgia Gkioxari 3DPC 31 907 0 16 Jul 2020
Progressive Point Cloud Deconvolution Generation Network Le Hui Rui Xu Jin Xie J. Qian Jian Yang 3DPC 27 72 0 10 Jul 2020
3D Shape Reconstruction from Vision and Touch Edward James Smith Roberto Calandra Adriana Romero Georgia Gkioxari D. Meger Jitendra Malik M. Drozdzal 16 68 0 07 Jul 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis Katja Schwarz Yiyi Liao Michael Niemeyer Andreas Geiger VGen 81 864 0 05 Jul 2020
Deep Geometric Texture Synthesis Amir Hertz Rana Hanocka Raja Giryes Daniel Cohen-Or GAN 3DV 22 69 0 30 Jun 2020
LayoutTransformer: Layout Generation and Completion with Self-attention Kamal Gupta Justin Lazarow Alessandro Achille Larry S. Davis Vijay Mahadevan Abhinav Shrivastava ViT 36 136 0 25 Jun 2020
3D Shape Reconstruction from Free-Hand Sketches Jiayun Wang Jierui Lin Qian Yu Runtao Liu Yubei Chen Stella X. Yu 16 39 0 17 Jun 2020
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction Tong He John Collomosse Hailin Jin Stefano Soatto 3DH 28 176 0 15 Jun 2020
Convolutional Generation of Textured 3D Meshes Dario Pavllo Graham Spinks Thomas Hofmann Marie-Francine Moens Aurelien Lucchi 19 62 0 13 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 266 0 09 Jun 2020
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning Aditya Sanghi 3DPC SSL 11 101 0 04 Jun 2020
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds Kibok Lee Zhuoyuan Chen Xinchen Yan R. Urtasun Ersin Yumer 3DPC 17 30 0 24 May 2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review Ying Li Lingfei Ma Zilong Zhong Fei Liu Dongpu Cao Jonathan Li M. Chapman 3DPC 44 390 0 20 May 2020
FroDO: From Detections to 3D Objects Kejie Li Martin Rünz Meng Tang Lingni Ma Chen Kong ... Ian Reid Lourdes Agapito Julian Straub S. Lovegrove Richard Newcombe 3DPC 22 72 0 11 May 2020
A Simple and Scalable Shape Representation for 3D Reconstruction Mateusz Michalkiewicz Eugene Belilovsky Mahsa Baktash Anders P. Eriksson 3DV 17 10 0 10 May 2020
TetraTSDF: 3D human reconstruction from a single image with a tetrahedral outer shell Hayato Onizuka Zehra Hayirci D. Thomas Akihiro Sugimoto Hideaki Uchiyama R. Taniguchi 3DH 30 35 0 22 Apr 2020
NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction Edgar Sucar Kentaro Wada Andrew J. Davison OCL 3DH 3DV 25 113 0 09 Apr 2020
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions Matheus Gadelha Aruni RoyChowdhury Gopal Sharma E. Kalogerakis Liangliang Cao Erik Learned-Miller Rui Wang Subhransu Maji 3DPC 26 45 0 30 Mar 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds Yongming Rao Jiwen Lu Jie Zhou 3DPC 27 130 0 29 Mar 2020
LIMP: Learning Latent Shape Representations with Metric Preservation Priors Luca Cosmo Antonio Norelli Oshri Halimi Ron Kimmel Emanuele Rodolà 31 73 0 27 Mar 2020
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 240 558 0 19 Mar 2020
Energy-Based Processes for Exchangeable Data Mengjiao Yang Bo Dai H. Dai Dale Schuurmans 22 12 0 17 Mar 2020
Instant recovery of shape from spectrum via latent space connections R. Marin Arianna Rampini U. Castellani Emanuele Rodolà M. Ovsjanikov Simone Melzi 32 20 0 14 Mar 2020
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates Zhizhong Han Guanhui Qiao Yu-Shen Liu Matthias Zwicker 3DPC 3DV 54 32 0 12 Mar 2020
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion Julian Chibane Thiemo Alldieck Gerard Pons-Moll 3DPC 45 492 0 03 Mar 2020
PF-Net: Point Fractal Network for 3D Point Cloud Completion Zitian Huang Yikuan Yu Jiawen Xu Feng Ni Xinyi Le 3DPC 41 356 0 01 Mar 2020
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data Sebastian Lunz Yingzhen Li Andrew Fitzgibbon Nate Kushman 3DV GAN 17 54 0 28 Feb 2020
Triangle-Net: Towards Robustness in Point Cloud Learning Chenxi Xiao J. Wachs 3DH 3DPC 31 34 0 27 Feb 2020
Implicit Geometric Regularization for Learning Shapes Amos Gropp Lior Yariv Niv Haim Matan Atzmon Y. Lipman AI4CE 48 852 0 24 Feb 2020
The Automated Inspection of Opaque Liquid Vaccines Gregory Palmer Benjamin Schnieders Rahul Savani K. Tuyls J. Fossel H. Flore MedIm 27 7 0 21 Feb 2020
A Survey on Deep Geometry Learning: From a Representation Perspective Yun-Peng Xiao Yu-Kun Lai Fang-Lue Zhang Chunpeng Li Lin Gao 3DH AI4TS 40 100 0 19 Feb 2020
Hypernetwork approach to generating point clouds P. Spurek Sebastian Winczowski Jacek Tabor M. Zamorski Maciej Ziȩba Tomasz Trzciñski 3DPC 42 34 0 10 Feb 2020
Depth Based Semantic Scene Completion with Position Importance Aware Loss Yu Liu Jie Li Xia Yuan Chunxia Zhao Roland Siegwart Ian Reid Cesar Cadena 3DPC 24 56 0 29 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 818 0 20 Jan 2020
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction Yuan Yao Nico Schertler Enrique Rosales Helge Rhodin Leonid Sigal Alla Sheffer 25 45 0 23 Dec 2019
P $^2$ GNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation Peiyu Yu Yongming Rao Jiwen Lu Jie Zhou 3DPC 41 5 0 19 Dec 2019
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds Albert Pumarola S. Popov Francesc Moreno-Noguer V. Ferrari 3DPC AI4CE 31 80 0 15 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 13 8 0 30 Nov 2019
Compressing Representations for Embedded Deep Learning Juliano S. Assine Alan Godoy Eduardo Valle 13 2 0 23 Nov 2019
Learning Permutation Invariant Representations using Memory Networks Shivam Kalra Mohammed Adnan Graham W. Taylor Hamid Tizhoosh 19 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 21 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 19 179 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 27 251 0 12 Sep 2019
Exploring Temporal Differences in 3D Convolutional Neural Networks Gagan Kanojia Sudhakar Kumawat Shanmuganathan Raman 3DPC AI4TS 19 3 0 07 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 19 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 21 3 0 24 Aug 2019