Occupancy Networks: Learning 3D Reconstruction in Function Space

10 December 2018

Papers citing "Occupancy Networks: Learning 3D Reconstruction in Function Space"

24 / 774 papers shown

Title
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
RoutedFusion: Learning Real-time Depth Map Fusion Silvan Weder Johannes L. Schonberger Marc Pollefeys Martin R. Oswald 24 78 0 13 Jan 2020
Meshlet Priors for 3D Mesh Reconstruction Abhishek Badki Orazio Gallo Jan Kautz P. Sen 21 45 0 06 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 31 45 0 23 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
Neural Cages for Detail-Preserving 3D Deformations Yifan Wang Noam Aigerman Vladimir G. Kim S. Chaudhuri O. Sorkine-Hornung 3DH 30 138 0 13 Dec 2019
SSRNet: Scalable 3D Surface Reconstruction Network Zhenxing Mi Yimin Luo Wenbing Tao 3DV 3DPC 25 56 0 18 Nov 2019
Learning to Infer Implicit Surfaces without 3D Supervision Shichen Liu Shunsuke Saito Weikai Chen Hao Li 3DV 24 197 0 02 Nov 2019
CvxNet: Learnable Convex Decomposition Boyang Deng Kyle Genova S. Yazdani Sofien Bouaziz Geoffrey E. Hinton Andrea Tagliasacchi 39 252 0 12 Sep 2019
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation Chao Wen Yinda Zhang Zhuwen Li Yanwei Fu 3DV 24 236 0 05 Aug 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
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
Controlling Neural Level Sets Matan Atzmon Niv Haim Lior Yariv Ofer Israelov Haggai Maron Y. Lipman AI4CE 22 118 0 28 May 2019
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction Qiangeng Xu Weiyue Wang Duygu Ceylan R. Měch Ulrich Neumann 3DH 3DV 61 558 0 26 May 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
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization Shunsuke Saito Zeng Huang Ryota Natsume Shigeo Morishima Angjoo Kanazawa Hao Li 3DH 69 1,245 0 13 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
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
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 38 3,616 0 16 Jan 2019
Unsupervised Image Decomposition in Vector Layers Othman Sbai Camille Couprie Mathieu Aubry 41 8 0 13 Dec 2018
Learning Implicit Fields for Generative Shape Modeling Zhiqin Chen Hao Zhang AI4CE 3DV 38 1,608 0 06 Dec 2018
Inferring Point Clouds from Single Monocular Images by Depth Intermediation Wei Zeng Sezer Karaoglu Theo Gevers 3DPC 24 19 0 04 Dec 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 189 1,941 0 24 Oct 2016