Deep Meta Functionals for Shape Representation

17 August 2019

Papers citing "Deep Meta Functionals for Shape Representation"

24 / 24 papers shown

Title
HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling Daniel Duenias Brennan Nichyporuk Tal Arbel Tammy Riklin-Raviv 95 6 0 20 Mar 2024
Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction Shichen Liu Weikai Chen Tianye Li Hao Li 79 96 0 17 Jan 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 133 3,707 0 16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 253 2,908 0 10 Dec 2018
Learning Implicit Fields for Generative Shape Modeling Zhiqin Chen Hao Zhang AI4CE 3DV 155 1,638 0 06 Dec 2018
Inferring Point Clouds from Single Monocular Images by Depth Intermediation Wei Zeng Sezer Karaoglu Theo Gevers 3DPC 77 19 0 04 Dec 2018
Learning View Priors for Single-view 3D Reconstruction Hiroharu Kato Tatsuya Harada 91 80 0 26 Nov 2018
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers Stephan R. Richter Stefan Roth 3DV 69 139 0 29 Apr 2018
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images Nanyang Wang Yinda Zhang Zhuwen Li Yanwei Fu Wen Liu Yu-Gang Jiang 3DV 115 1,332 0 05 Apr 2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DV 148 1,185 0 15 Feb 2018
Neural 3D Mesh Renderer Hiroharu Kato Yoshitaka Ushiku Tatsuya Harada 3DV 80 1,046 0 20 Nov 2017
Learning a Multi-View Stereo Machine Abhishek Kar Christian Häne Jitendra Malik 3DV 70 529 0 17 Aug 2017
Hierarchical Surface Prediction for 3D Object Reconstruction Christian Häne Shubham Tulsiani Jitendra Malik 3DV 103 332 0 03 Apr 2017
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs Maxim Tatarchenko Alexey Dosovitskiy Thomas Brox 3DV 106 741 0 28 Mar 2017
A Point Set Generation Network for 3D Object Reconstruction from a Single Image Haoqiang Fan Hao Su Leonidas Guibas 3DPC 3DV 171 2,242 0 02 Dec 2016
OctNet: Learning Deep 3D Representations at High Resolutions Gernot Riegler Ali O. Ulusoy Andreas Geiger 3DV 3DPC 233 1,481 0 15 Nov 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 172 1,633 0 27 Sep 2016
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 77 471 0 16 Jun 2016
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets Srikrishna Karanam Mengran Gou Ziyan Wu Angels Rates-Borras Mario Sznaier Richard J. Radke 99 58 0 31 May 2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction Chris Choy Danfei Xu JunYoung Gwak Kevin Chen Silvio Savarese 3DV 95 1,720 0 02 Apr 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 176 5,538 0 09 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 307 5,536 0 23 Nov 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 355 18,654 0 06 Feb 2015
On the Number of Linear Regions of Deep Neural Networks Guido Montúfar Razvan Pascanu Kyunghyun Cho Yoshua Bengio 96 1,256 0 08 Feb 2014