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Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis
  and Analysis

Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis

25 December 2020
Jianwen Xie
Zilong Zheng
Ruiqi Gao
Wenguan Wang
Song-Chun Zhu
Ying Nian Wu
    3DV
ArXivPDFHTML

Papers citing "Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis"

29 / 29 papers shown
Title
Incorporating Inductive Biases to Energy-based Generative Models
Incorporating Inductive Biases to Energy-based Generative Models
Yukun Li
Li-Ping Liu
60
0
0
02 May 2025
iFlame: Interleaving Full and Linear Attention for Efficient Mesh Generation
iFlame: Interleaving Full and Linear Attention for Efficient Mesh Generation
Hanxiao Wang
Biao Zhang
Weize Quan
Dong-ming Yan
Peter Wonka
53
0
0
20 Mar 2025
Masked Generative Extractor for Synergistic Representation and 3D
  Generation of Point Clouds
Masked Generative Extractor for Synergistic Representation and 3D Generation of Point Clouds
Hongliang Zeng
Ping Zhang
Fang Li
Jiahua Wang
Tingyu Ye
Pengteng Guo
3DPC
44
0
0
25 Jun 2024
S$^2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor
  Critic
S2^22AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
Safa Messaoud
Billel Mokeddem
Zhenghai Xue
Linsey Pang
Bo An
Haipeng Chen
Sanjay Chawla
51
3
0
02 May 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
41
0
0
19 Apr 2024
Pushing Auto-regressive Models for 3D Shape Generation at Capacity and
  Scalability
Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability
Xue-Qing Qian
Yu Wang
Simian Luo
Yinda Zhang
Ying Tai
...
Xiangyang Xue
Bo Zhao
Tiejun Huang
Yunsheng Wu
Yanwei Fu
34
6
0
19 Feb 2024
Optimizing Implicit Neural Representations from Point Clouds via
  Energy-Based Models
Optimizing Implicit Neural Representations from Point Clouds via Energy-Based Models
Ryutaro Yamauchi
Jinya Sakurai
Ryo Furukawa
Tatsushi Matsubayashi
3DPC
40
0
0
05 Nov 2023
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning
  Energy-Based Models
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models
Belhal Karimi
Jianwen Xie
Ping Li
DiffM
46
0
0
19 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
Peiyu Yu
Y. Zhu
Sirui Xie
Xiaojian Ma
Ruiqi Gao
Song-Chun Zhu
Ying Nian Wu
DiffM
39
12
0
05 Oct 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
30
4
0
16 Apr 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative
  Learning
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning
Yang Zhao
Jianwen Xie
Ping Li
GAN
46
3
0
21 Mar 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud
  Pre-training
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
Ziyu Guo
Renrui Zhang
Longtian Qiu
Xianzhi Li
Pheng-Ann Heng
3DPC
40
52
0
27 Feb 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
52
198
0
26 Jan 2023
Deep Generative Models on 3D Representations: A Survey
Deep Generative Models on 3D Representations: A Survey
Zifan Shi
Sida Peng
Yinghao Xu
Andreas Geiger
Yiyi Liao
Yujun Shen
MedIm
3DV
52
0
0
27 Oct 2022
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation
Xin-Yang Zheng
Yang Liu
Peng-Shuai Wang
Xin Tong
25
97
0
24 Jun 2022
3DILG: Irregular Latent Grids for 3D Generative Modeling
3DILG: Irregular Latent Grids for 3D Generative Modeling
Biao Zhang
Matthias Nießner
Peter Wonka
3DV
36
87
0
27 May 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
Juntao Li
Ping Li
29
50
0
13 May 2022
An Energy-Based Prior for Generative Saliency
An Energy-Based Prior for Generative Saliency
Jing Zhang
Jianwen Xie
Nick Barnes
Ping Li
48
3
0
19 Apr 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
40
90
0
27 Dec 2021
Energy-Based Generative Cooperative Saliency Prediction
Energy-Based Generative Cooperative Saliency Prediction
Jing Zhang
Jianwen Xie
Zilong Zheng
Nick Barnes
36
12
0
25 Jun 2021
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based
  Models
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models
Jiaxiang Wu
Shitong Luo
Tao Shen
Haidong Lan
Sheng Wang
Junzhou Huang
DiffM
24
8
0
11 May 2021
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC
  Teaching for Unsupervised Cross-Domain Translation
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation
Jianwen Xie
Zilong Zheng
Xiaolin Fang
Song-Chun Zhu
Ying Nian Wu
14
14
0
07 Mar 2021
EBMs Trained with Maximum Likelihood are Generator Models Trained with a
  Self-adverserial Loss
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss
Zhisheng Xiao
Qing Yan
Y. Amit
32
2
0
23 Feb 2021
Learning Energy-Based Model with Variational Auto-Encoder as Amortized
  Sampler
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
Jianwen Xie
Zilong Zheng
Ping Li
24
53
0
29 Dec 2020
Learning Energy-Based Models With Adversarial Training
Learning Energy-Based Models With Adversarial Training
Xuwang Yin
Shiying Li
Gustavo K. Rohde
AAML
DiffM
43
9
0
11 Dec 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
Energy-Based Continuous Inverse Optimal Control
Energy-Based Continuous Inverse Optimal Control
Yifei Xu
Jianwen Xie
Tianyang Zhao
Chris L. Baker
Yibiao Zhao
Ying Nian Wu
28
19
0
10 Apr 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
194
1,942
0
24 Oct 2016
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
192
3,268
0
09 Jun 2012
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