A Survey on Deep Geometry Learning: From a Representation Perspective

19 February 2020

Papers citing "A Survey on Deep Geometry Learning: From a Representation Perspective"

7 / 7 papers shown

Title
Long Range Pooling for 3D Large-Scale Scene Understanding Xiang-Li Li Meng-Hao Guo Tai-Jiang Mu Ralph Robert Martin Shiyong Hu 3DV 3DPC 8 2 0 17 Jan 2023
Laplacian2Mesh: Laplacian-Based Mesh Understanding Qiujie Dong Zixiong Wang Manyi Li Junjie Gao Shuangmin Chen Zhenyu Shu Shiqing Xin Changhe Tu Wenping Wang 14 24 0 01 Feb 2022
Multi-feature super-resolution network for cloth wrinkle synthesis Lan Chen Juntao Ye Xiaopeng Zhang AI4CE 11 14 0 09 Apr 2020
Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks J. Pan Xiaoguang Han Weikai Chen Jiapeng Tang K. Jia 96 187 0 01 Sep 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 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 164 1,926 0 24 Oct 2016