Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes

21 September 2018

Peng-Shuai Wang

Yang Liu

Papers citing "Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes"

25 / 25 papers shown

Title
A Review of Deep Learning-Powered Mesh Reconstruction Methods Zhiqin Chen 3DV 35 2 0 06 Mar 2023
CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction Leo Lebrat Rodrigo Santa Cruz Frédéric de Gournay Darren Fu Pierrick Bourgeat Jurgen Fripp Clinton Fookes Olivier Salvado 3DH 19 5 0 06 Jun 2022
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution Zhijian Liu Haotian Tang Shengyu Zhao Kevin Shao Song Han 3DPC 13 39 0 25 Apr 2022
3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow Xin Wen Junsheng Zhou Yu-Shen Liu Zhen Dong Zhizhong Han 3DV 3DPC 23 52 0 29 Mar 2022
Learning Body-Aware 3D Shape Generative Models Bryce Blinn Alexander Ding R. K. Jones Manolis Savva Srinath Sridhar Daniel E. Ritchie 3DH 16 5 0 13 Dec 2021
Traffic Event Detection as a Slot Filling Problem Xiangyu Yang Giannis Bekoulis Nikos Deligiannis 19 5 0 13 Sep 2021
Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks Yu-Qi Yang Peng-Shuai Wang Yang Liu 3DPC 22 2 0 16 Aug 2021
SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks Jiapeng Tang Jiabao Lei Dan Xu Feiying Ma K. Jia Lei Zhang 3DPC 8 74 0 08 May 2021
GAMesh: Guided and Augmented Meshing for Deep Point Networks Nitin Agarwal M. Gopi 3DPC 3DGS 160 4 0 19 Oct 2020
A curvature and density-based generative representation of shapes Zi Ye Nobuyuki Umetani Takeo Igarashi T. Hoffmann 22 5 0 05 Sep 2020
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images Jiahui Lei Srinath Sridhar Paul Guerrero Minhyuk Sung Niloy Mitra Leonidas J. Guibas 3DV 25 29 0 18 Aug 2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution Haotian Tang Zhijian Liu Shengyu Zhao Yujun Lin Ji Lin Hanrui Wang Song Han 3DPC 26 630 0 31 Jul 2020
Learning Part Boundaries from 3D Point Clouds Marios Loizou Melinos Averkiou E. Kalogerakis 3DPC 15 33 0 15 Jul 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 19 45 0 30 Mar 2020
Learning 3D Part Assembly from a Single Image Yichen Li Kaichun Mo Lin Shao Minhyuk Sung Leonidas J. Guibas 14 68 0 21 Mar 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 11 200 0 27 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 32 100 0 19 Feb 2020
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation Gopal Sharma Francis Li Brendan Chwyl 3DPC 3DV 16 11 0 03 Oct 2019
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning Zhiyuan Zhang Binh-Son Hua D. Rosen Sai-Kit Yeung 3DPC 13 167 0 17 Aug 2019
Mesh Variational Autoencoders with Edge Contraction Pooling Yu-Jie Yuan Yu-Kun Lai J. Yang Hongbo Fu Lin Gao 3DPC 24 31 0 07 Aug 2019
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization I. Lim Moritz Ibing Leif Kobbelt 3DPC 3DV 22 15 0 27 Jun 2019
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image Jingwei Huang Yichao Zhou Thomas Funkhouser Leonidas J. Guibas 3DV 22 45 0 29 Mar 2019
3DN: 3D Deformation Network Weiyue Wang Duygu Ceylan R. Měch Ulrich Neumann 3DPC 11 126 0 08 Mar 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,236 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 168 1,940 0 24 Oct 2016