ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1709.04304
  4. Cited By
Mesh-based Autoencoders for Localized Deformation Component Analysis

Mesh-based Autoencoders for Localized Deformation Component Analysis

13 September 2017
Qingyang Tan
Lin Gao
Yu-Kun Lai
Jie-jin Yang
Shi-hong Xia
ArXivPDFHTML

Papers citing "Mesh-based Autoencoders for Localized Deformation Component Analysis"

11 / 11 papers shown
Title
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
38
11
0
23 Feb 2021
LCollision: Fast Generation of Collision-Free Human Poses using Learned
  Non-Penetration Constraints
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints
Qingyang Tan
Zherong Pan
Tianyi Zhou
3DH
30
10
0
06 Nov 2020
GAMesh: Guided and Augmented Meshing for Deep Point Networks
GAMesh: Guided and Augmented Meshing for Deep Point Networks
Nitin Agarwal
M. Gopi
3DPC
3DGS
168
4
0
19 Oct 2020
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
A Survey on Deep Geometry Learning: From a Representation Perspective
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
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based
  Mesh Embedding
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding
Qingyang Tan
Zherong Pan
Lin Gao
Tianyi Zhou
AI4CE
19
22
0
26 Sep 2019
Mesh Variational Autoencoders with Edge Contraction Pooling
Mesh Variational Autoencoders with Edge Contraction Pooling
Yu-Jie Yuan
Yu-Kun Lai
J. Yang
Hongbo Fu
Lin Gao
3DPC
31
31
0
07 Aug 2019
Disentangled Human Body Embedding Based on Deep Hierarchical Neural
  Network
Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network
Boyi Jiang
Juyong Zhang
Jianfei Cai
Jianmin Zheng
3DH
AI4CE
25
37
0
14 May 2019
NormalNet: Learning-based Normal Filtering for Mesh Denoising
NormalNet: Learning-based Normal Filtering for Mesh Denoising
Wenbo Zhao
Xianming Liu
Yongsen Zhao
Xiaopeng Fan
Debin Zhao
AI4CE
15
7
0
10 Mar 2019
Disentangled Representation Learning for 3D Face Shape
Disentangled Representation Learning for 3D Face Shape
Zi-Hang Jiang
Qianyi Wu
Keyu Chen
Juyong Zhang
DRL
3DH
CoGe
CVBM
18
108
0
26 Feb 2019
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
189
1,941
0
24 Oct 2016
1