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Unsupervised Primitive Discovery for Improved 3D Generative Modeling

Unsupervised Primitive Discovery for Improved 3D Generative Modeling

9 June 2019
Salman H. Khan
Yulan Guo
Munawar Hayat
Nick Barnes
ArXivPDFHTML

Papers citing "Unsupervised Primitive Discovery for Improved 3D Generative Modeling"

5 / 5 papers shown
Title
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled
  Primitives
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives
Xinke Li
Henghui Ding
Zekun Tong
Yuwei Wu
Yeow Meng Chee
DD
42
4
0
25 May 2022
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis
  and Analysis
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis
Jianwen Xie
Zilong Zheng
Ruiqi Gao
Wenguan Wang
Song-Chun Zhu
Ying Nian Wu
3DV
22
49
0
25 Dec 2020
Conditional Generative Modeling via Learning the Latent Space
Conditional Generative Modeling via Learning the Latent Space
Sameera Ramasinghe
Kanchana Ranasinghe
Salman Khan
Nick Barnes
Stephen Gould
BDL
31
9
0
07 Oct 2020
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets
  for 3D Generation, Reconstruction and Classification
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification
Jianwen Xie
Yifei Xu
Zilong Zheng
Song-Chun Zhu
Ying Nian Wu
3DPC
27
80
0
02 Apr 2020
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
191
1,942
0
24 Oct 2016
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