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. 1905.07506
  4. Cited By
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts
  in Multiple Views

Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views

18 May 2019
Zhizhong Han
Xinhai Liu
Yu-Shen Liu
Matthias Zwicker
    3DPC
ArXivPDFHTML

Papers citing "Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views"

14 / 14 papers shown
Title
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image
Bowen Hu
Baiying Lei
Sibo Qiao
Hieu Pham
Shuqiang Wang
Michael Kwok-Po Ng
3DPC
3DV
46
0
0
22 May 2023
SPCNet: Stepwise Point Cloud Completion Network
SPCNet: Stepwise Point Cloud Completion Network
Fei-Jiang Hu
Honghua Chen
Xuequan Lu
Zhenliang Zhu
Jun Wang
Weiming Wang
F. Wang
Mingqiang Wei
3DPC
26
3
0
05 Sep 2022
3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
Xin Wen
Junsheng Zhou
Yu-Shen Liu
Zhen Dong
Zhizhong Han
3DV
3DPC
32
52
0
29 Mar 2022
Cycle4Completion: Unpaired Point Cloud Completion using Cycle
  Transformation with Missing Region Coding
Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding
Xin Wen
Zhizhong Han
Yan-Pei Cao
Pengfei Wan
Wen Zheng
Yu-Shen Liu
3DPC
28
93
0
14 Mar 2021
Neural-Pull: Learning Signed Distance Functions from Point Clouds by
  Learning to Pull Space onto Surfaces
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Baorui Ma
Zhizhong Han
Yu-Shen Liu
Matthias Zwicker
3DPC
40
153
0
26 Nov 2020
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D
  Structure Learning from Silhouette Images
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images
Zhizhong Han
Chao Chen
Yu-Shen Liu
Matthias Zwicker
29
59
0
12 Jul 2020
Point Cloud Completion by Skip-attention Network with Hierarchical
  Folding
Point Cloud Completion by Skip-attention Network with Hierarchical Folding
Xin Wen
Tianyang Li
Zhizhong Han
Yu-Shen Liu
3DPC
16
241
0
08 May 2020
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding
  Local Region Contexts
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
11
20
0
18 Mar 2020
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting
  1D Occupancy Segments From 2D Coordinates
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates
Zhizhong Han
Guanhui Qiao
Yu-Shen Liu
Matthias Zwicker
3DPC
3DV
46
32
0
12 Mar 2020
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of
  Local Regions on Point Clouds using Spatial-aware Capsules
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
13
38
0
29 Aug 2019
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global
  Reconstruction with Hierarchical Self-Attention
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
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point
  Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half
  Prediction
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
Zhizhong Han
Xiyang Wang
Yu-Shen Liu
Matthias Zwicker
3DPC
27
143
0
30 Jul 2019
Point Clouds Learning with Attention-based Graph Convolution Networks
Point Clouds Learning with Attention-based Graph Convolution Networks
Zhuyang Xie
Junzhou Chen
B. Peng
3DPC
16
53
0
31 May 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
171
1,940
0
24 Oct 2016
1