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A Survey on Deep Geometry Learning: From a Representation Perspective

A Survey on Deep Geometry Learning: From a Representation Perspective

19 February 2020
Yun-Peng Xiao
Yu-Kun Lai
Fang-Lue Zhang
Chunpeng Li
Lin Gao
    3DH
    AI4TS
ArXivPDFHTML

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

10 / 10 papers shown
Title
Long Range Pooling for 3D Large-Scale Scene Understanding
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
19
2
0
17 Jan 2023
What's the Situation with Intelligent Mesh Generation: A Survey and
  Perspectives
What's the Situation with Intelligent Mesh Generation: A Survey and Perspectives
Na Lei
Zezeng Li
Zebin Xu
Ying Li
X. Gu
AI4CE
19
20
0
11 Nov 2022
3D Vision with Transformers: A Survey
3D Vision with Transformers: A Survey
Jean Lahoud
Jiale Cao
F. Khan
Hisham Cholakkal
Rao Muhammad Anwer
Salman Khan
Ming Yang
ViT
MedIm
29
32
0
08 Aug 2022
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Qiujie Dong
Zixiong Wang
Manyi Li
Junjie Gao
Shuangmin Chen
Zhenyu Shu
Shiqing Xin
Changhe Tu
Wenping Wang
16
25
0
01 Feb 2022
Deep Deformation Detail Synthesis for Thin Shell Models
Deep Deformation Detail Synthesis for Thin Shell Models
Lan Chen
Lin Gao
Jie Yang
Shibiao Xu
Juntao Ye
Xiaopeng Zhang
Yu-Kun Lai
3DH
AI4CE
35
11
0
23 Feb 2021
Multi-feature super-resolution network for cloth wrinkle synthesis
Multi-feature super-resolution network for cloth wrinkle synthesis
Lan Chen
Juntao Ye
Xiaopeng Zhang
AI4CE
22
14
0
09 Apr 2020
Deep Mesh Reconstruction from Single RGB Images via Topology
  Modification Networks
Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks
J. Pan
Xiaoguang Han
Weikai Chen
Jiapeng Tang
Kui Jia
105
190
0
01 Sep 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
253
3,239
0
24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
171
1,940
0
24 Oct 2016
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