Adversarial Autoencoders for Compact Representations of 3D Point Clouds

Adversarial Autoencoders for Compact Representations of 3D Point Clouds

19 November 2018

Piotr Klukowski

Wojciech Stokowiec

Tomasz Trzciñski

Papers citing "Adversarial Autoencoders for Compact Representations of 3D Point Clouds"

7 / 7 papers shown

Title
Learning geometry-image representation for 3D point cloud generation Lei Wang Yuchun Huang Pengjie Tao Yaolin Hou Yuxuan Liu 3DPC 30 2 0 29 Nov 2020
Learning Gradient Fields for Shape Generation Ruojin Cai Guandao Yang Hadar Averbuch-Elor Jinwei Gu Serge J. Belongie Noah Snavely B. Hariharan 3DPC 19 280 0 14 Aug 2020
DualSDF: Semantic Shape Manipulation using a Two-Level Representation Jinwei Gu Hadar Averbuch-Elor Noah Snavely Serge J. Belongie 3DPC 27 112 0 06 Apr 2020
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
Energy-Based Processes for Exchangeable Data Mengjiao Yang Bo Dai H. Dai Dale Schuurmans 22 12 0 17 Mar 2020
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming Liu Serge J. Belongie Bharath Hariharan 3DPC 40 658 0 28 Jun 2019
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