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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

2 April 2020
Jianwen Xie
Yifei Xu
Zilong Zheng
Song-Chun Zhu
Ying Nian Wu
    3DPC
ArXivPDFHTML

Papers citing "Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification"

17 / 17 papers shown
Title
Incorporating Inductive Biases to Energy-based Generative Models
Incorporating Inductive Biases to Energy-based Generative Models
Yukun Li
Li-Ping Liu
52
0
0
02 May 2025
Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting
Grasping Partially Occluded Objects Using Autoencoder-Based Point Cloud Inpainting
Alexander Koebler
Ralf Gross
Florian Buettner
Ingo Thon
3DPC
60
1
0
16 Mar 2025
Atlas Gaussians Diffusion for 3D Generation
Atlas Gaussians Diffusion for 3D Generation
Haitao Yang
Yuan Dong
Hanwen Jiang
Dejia Xu
Georgios Pavlakos
Qixing Huang
3DGS
69
3
0
23 Aug 2024
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets
Yang Ye
Shihao Ji
PINN
3DPC
35
0
0
19 Apr 2024
FAKEPCD: Fake Point Cloud Detection via Source Attribution
FAKEPCD: Fake Point Cloud Detection via Source Attribution
Y. Qu
Zhikun Zhang
Yun Shen
Michael Backes
Yang Zhang
3DPC
32
0
0
18 Dec 2023
Likelihood-Based Generative Radiance Field with Latent Space
  Energy-Based Model for 3D-Aware Disentangled Image Representation
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation
Y. Zhu
Jianwen Xie
Ping Li
MedIm
20
4
0
16 Apr 2023
3DShape2VecSet: A 3D Shape Representation for Neural Fields and
  Generative Diffusion Models
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
Biao Zhang
Jiapeng Tang
Matthias Niessner
Peter Wonka
DiffM
25
196
0
26 Jan 2023
3DLatNav: Navigating Generative Latent Spaces for Semantic-Aware 3D
  Object Manipulation
3DLatNav: Navigating Generative Latent Spaces for Semantic-Aware 3D Object Manipulation
Amaya Dharmasiri
Dinithi Dissanayake
Mohamed Afham
Isuru Dissanayake
Ranga Rodrigo
Kanchana Thilakarathna
3DPC
23
0
0
17 Nov 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding
  Semantic Novelty Detection on Point Clouds
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds
A. Alliegro
Francesco Cappio Borlino
Tatiana Tommasi
3DPC
3DV
28
7
0
23 Jul 2022
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for
  End-to-End Visual Robotic Manipulation Learning
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
Hyunwoo Ryu
Jeong-Hoon Lee
Honglak Lee
Jongeun Choi
37
53
0
16 Jun 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and
  Normalizing Flow Toward Energy-Based Model
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model
Jianwen Xie
Y. Zhu
J. Li
Ping Li
24
50
0
13 May 2022
DepthGAN: GAN-based Depth Generation of Indoor Scenes from Semantic
  Layouts
DepthGAN: GAN-based Depth Generation of Indoor Scenes from Semantic Layouts
Yidi Li
Yiqun Wang
Zhengda Lu
Jun Xiao
GAN
3DV
MDE
24
3
0
22 Mar 2022
COLD Decoding: Energy-based Constrained Text Generation with Langevin
  Dynamics
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics
Lianhui Qin
Sean Welleck
Daniel Khashabi
Yejin Choi
AI4CE
46
144
0
23 Feb 2022
Learning Generative Vision Transformer with Energy-Based Latent Space
  for Saliency Prediction
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
Jing Zhang
Jianwen Xie
Nick Barnes
Ping Li
ViT
35
90
0
27 Dec 2021
A Review of Location Encoding for GeoAI: Methods and Applications
A Review of Location Encoding for GeoAI: Methods and Applications
Gengchen Mai
K. Janowicz
Yingjie Hu
Song Gao
Bo Yan
Rui Zhu
Ling Cai
Ni Lao
69
114
0
07 Nov 2021
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
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
1