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Learning a Predictable and Generative Vector Representation for Objects

29 March 2016

Papers citing "Learning a Predictable and Generative Vector Representation for Objects"

24 / 24 papers shown

Title
CAD-NeRF: Learning NeRFs from Uncalibrated Few-view Images by CAD Model Retrieval Xin Wen Xuening Zhu Renjiao Yi Z. T. Wang Chenyang Zhu K. Xu 121 1 0 05 Nov 2024
Enhancing Performance of Point Cloud Completion Networks with Consistency Loss Christofel Rio Goenawan Kevin Tirta Wijaya Seung-Hyun Kong 3DPC 372 1 0 09 Oct 2024
LOOC: Localizing Organs using Occupancy Networks and Body Surface Depth Images P. Henrich Franziska Mathis-Ullrich 77 2 0 18 Jun 2024
MultiPlaneNeRF: Neural Radiance Field with Non-Trainable Representation D. Zimny Artur Kasymov Adam Kania Jacek Tabor Maciej Ziȩba Przemysław Spurek Przemysław Spurek 3DV 119 2 0 17 May 2023
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion Julian Chibane Thiemo Alldieck Gerard Pons-Moll 3DPC 158 497 0 03 Mar 2020
FPNN: Field Probing Neural Networks for 3D Data Yangyan Li Soren Pirk Hao Su C. Qi Leonidas Guibas 3DPC 97 290 0 20 May 2016
Single Image 3D Interpreter Network Jiajun Wu Tianfan Xue Joseph J Lim Yuandong Tian J. Tenenbaum Antonio Torralba William T. Freeman 3DV 73 285 0 29 Apr 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 92 1,719 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 172 5,538 0 09 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 271 14,023 0 19 Nov 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views Hao Su C. Qi Yangyan Li Leonidas Guibas 99 737 0 21 May 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition Hang Su Subhransu Maji E. Kalogerakis Erik Learned-Miller 3DV 162 3,220 0 05 May 2015
Deep Convolutional Inverse Graphics Network Tejas D. Kulkarni William F. Whitney Pushmeet Kohli J. Tenenbaum DRL BDL 103 929 0 11 Mar 2015
Inferring 3D Object Pose in RGB-D Images Saurabh Gupta Pablo Arbeláez Ross B. Girshick Jitendra Malik 3DPC 40 33 0 16 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 341 18,651 0 06 Feb 2015
Learning Deep Object Detectors from 3D Models Xingchao Peng Baochen Sun Karim Ali Kate Saenko 3DPC 3DV 66 59 0 22 Dec 2014
Category-Specific Object Reconstruction from a Single Image Abhishek Kar Shubham Tulsiani João Carreira Jitendra Malik 3DV 65 287 0 22 Nov 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox GAN 179 676 0 21 Nov 2014
Designing Deep Networks for Surface Normal Estimation Xinyu Wang David Fouhey Abhinav Gupta 3DV SSL 280 356 0 18 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 209 2,683 0 18 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 280 14,712 0 20 Jun 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 241 4,066 0 09 Jun 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 402 33,565 0 16 Oct 2013