OctNet: Learning Deep 3D Representations at High Resolutions

15 November 2016

Papers citing "OctNet: Learning Deep 3D Representations at High Resolutions"

50 / 264 papers shown

Title
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image Despoina Paschalidou Luc van Gool Andreas Geiger 3DV OCL 34 107 0 02 Apr 2020
SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints Weikun Wu Yan Zhang David Wang Yunqi Lei 3DPC 21 50 0 31 Mar 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
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement Zehao Yu Shenghua Gao 3DV 36 218 0 29 Mar 2020
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction Rohan Chabra J. E. Lenssen Eddy Ilg Tanner Schmidt Julian Straub S. Lovegrove Richard Newcombe 29 462 0 24 Mar 2020
Atlas: End-to-End 3D Scene Reconstruction from Posed Images Zak Murez Tarrence van As James Bartolozzi Ayan Sinha Vijay Badrinarayanan Andrew Rabinovich 3DV 42 259 0 23 Mar 2020
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points Ayan Sinha Zak Murez James Bartolozzi Vijay Badrinarayanan Andrew Rabinovich 3DV 3DPC 24 3 0 19 Mar 2020
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region Contexts Xinhai Liu Zhizhong Han Fangzhou Hong Yu-Shen Liu Matthias Zwicker 3DPC 16 20 0 18 Mar 2020
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation Jiazhao Zhang Chenyang Zhu Lintao Zheng Kai Xu 3DPC 37 61 0 13 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 102 127 0 11 Mar 2020
A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset Jin Liu Shunping Ji 3DV 10 74 0 02 Mar 2020
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling Xu Yan Chaoda Zheng Zhuguo Li Sheng Wang Shuguang Cui 3DPC 34 544 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
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image Y. Nie Xiaoguang Han Shihui Guo Yujian Zheng Jian Chang Jianjun Zhang 3DV 27 200 0 27 Feb 2020
FPConv: Learning Local Flattening for Point Convolution Yiqun Lin Zizheng Yan Haibin Huang Dong Du Ligang Liu Shuguang Cui Xiaoguang Han 3DPC 19 145 0 25 Feb 2020
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling Y. Qian Junhui Hou Sam Kwong Ying He 3DPC 24 115 0 24 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
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling Wenkai Han Chenglu Wen Cheng-Yu Wang Xin Li Qing Li 3DPC 16 93 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 46 5 0 19 Dec 2019
FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data Georg Krispel M. Opitz Georg Waltner Horst Possegger Horst Bischof 3DPC 14 67 0 18 Dec 2019
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching Xiaodong Gu Zhiwen Fan Zuozhuo Dai Siyu Zhu Feitong Tan P. Tan 3DV 50 710 0 13 Dec 2019
Grid-GCN for Fast and Scalable Point Cloud Learning Qiangeng Xu Xudong Sun Cho-Ying Wu Panqu Wang Ulrich Neumann 3DPC GNN 31 244 0 06 Dec 2019
SSRNet: Scalable 3D Surface Reconstruction Network Zhenxing Mi Yimin Luo Wenbing Tao 3DV 3DPC 20 56 0 18 Nov 2019
DeepGCNs: Making GCNs Go as Deep as CNNs Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 37 168 0 15 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
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation Gopal Sharma Francis Li Brendan Chwyl 3DPC 3DV 30 11 0 03 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
Point Attention Network for Semantic Segmentation of 3D Point Clouds Mingtao Feng Liang Zhang Xuefei Lin Syed Zulqarnain Gilani Ajmal Mian 3DPC 56 150 0 27 Sep 2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation Li Jiang Hengshuang Zhao Shu Liu Xiaoyong Shen Chi-Wing Fu Jiaya Jia 3DPC 23 193 0 23 Sep 2019
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions Can Chen L. Z. Fragonara Antonios Tsourdos 3DPC 21 7 0 23 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds Huan Lei Naveed Akhtar Ajmal Mian 3DPC 30 166 0 20 Sep 2019
CvxNet: Learnable Convex Decomposition Boyang Deng Kyle Genova S. Yazdani Sofien Bouaziz Geoffrey E. Hinton Andrea Tagliasacchi 39 252 0 12 Sep 2019
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Yongcheng Liu Bin Fan Gaofeng Meng Jiwen Lu Shiming Xiang Chunhong Pan 3DPC 128 270 0 09 Sep 2019
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules Xin Wen Zhizhong Han Xinhai Liu Yu-Shen Liu 3DPC 21 38 0 29 Aug 2019
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation Yuxing Xie Jiaojiao Tian Xiaoxiang Zhu 3DPC 27 206 0 23 Aug 2019
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning Zhiyuan Zhang Binh-Son Hua D. Rosen Sai-Kit Yeung 3DPC 27 167 0 17 Aug 2019
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics Zhiyuan Zhang Binh-Son Hua Sai-Kit Yeung 3DPC 36 346 0 17 Aug 2019
Interpolated Convolutional Networks for 3D Point Cloud Understanding Jiageng Mao Xiaogang Wang Hongsheng Li 3DPC 30 215 0 13 Aug 2019
Point Cloud Super Resolution with Adversarial Residual Graph Networks Huikai Wu Junge Zhang Kaiqi Huang 3DPC 22 47 0 06 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
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention Xinhai Liu Zhizhong Han Xin Wen Yu-Shen Liu Matthias Zwicker 3DPC 22 85 0 02 Aug 2019
Deformable Filter Convolution for Point Cloud Reasoning Yuwen Xiong Mengye Ren Renjie Liao K. Wong R. Urtasun 3DPC 34 17 0 30 Jul 2019
PointHop: An Explainable Machine Learning Method for Point Cloud Classification Min Zhang Haoxuan You Pranav Kadam Shan Liu C.-C. Jay Kuo 3DPC 11 109 0 30 Jul 2019
DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies Soshi Shimada Vladislav Golyanik E. Tretschk D. Stricker Christian Theobalt 3DPC 25 23 0 24 Jul 2019
A review on deep learning techniques for 3D sensed data classification David J. Griffiths Jan Boehm 3DPC 3DV 27 165 0 09 Jul 2019
Point-Voxel CNN for Efficient 3D Deep Learning Zhijian Liu Haotian Tang Yujun Lin Song Han 3DPC 67 660 0 08 Jul 2019
CNN-based synthesis of realistic high-resolution LiDAR data Larissa T. Triess David Peter Christoph B. Rist Markus Enzweiler Johann Marius Zöllner 3DPC 21 15 0 28 Jun 2019
Spatial Transformer for 3D Point Clouds Jiayun Wang Rudrasis Chakraborty Stella X. Yu 3DPC 22 14 0 26 Jun 2019
Neural Volumes: Learning Dynamic Renderable Volumes from Images Stephen Lombardi Tomas Simon Jason M. Saragih Gabriel Schwartz Andreas M. Lehrmann Yaser Sheikh 3DH 23 278 0 18 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