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Learning Descriptor Networks for 3D Shape Synthesis and Analysis

Learning Descriptor Networks for 3D Shape Synthesis and Analysis

2 April 2018
Jianwen Xie
Zilong Zheng
Ruiqi Gao
Wenguan Wang
Song-Chun Zhu
Ying Nian Wu
    GAN
    3DV
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Papers citing "Learning Descriptor Networks for 3D Shape Synthesis and Analysis"

29 / 29 papers shown
Title
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
SPAD : Spatially Aware Multiview Diffusers
SPAD : Spatially Aware Multiview Diffusers
Yash Kant
Ziyi Wu
Michael Vasilkovsky
Guocheng Qian
Jian Ren
R. A. Guler
Guohao Li
Sergey Tulyakov
Igor Gilitschenski
Aliaksandr Siarohin
DiffM
29
35
0
07 Feb 2024
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
25
4
0
16 Apr 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
34
52
0
27 Feb 2023
InfiniCity: Infinite-Scale City Synthesis
InfiniCity: Infinite-Scale City Synthesis
C. Lin
Hsin-Ying Lee
Willi Menapace
Menglei Chai
Aliaksandr Siarohin
Ming-Hsuan Yang
Sergey Tulyakov
VGen
32
53
0
23 Jan 2023
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding
Honggu Zhou
Xiaogang Peng
Jiawei Mao
Zizhao Wu
Ming Zeng
3DPC
22
3
0
22 Nov 2022
LION: Latent Point Diffusion Models for 3D Shape Generation
LION: Latent Point Diffusion Models for 3D Shape Generation
Fangyin Wei
Arash Vahdat
Francis Williams
Zan Gojcic
Or Litany
Sanja Fidler
Karsten Kreis
DiffM
73
486
0
12 Oct 2022
CoopHash: Cooperative Learning of Multipurpose Descriptor and
  Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image
  Hashing
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing
Khoa D. Doan
Jianwen Xie
Y. Zhu
Yang Zhao
Ping Li
GAN
18
2
0
09 Oct 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
Juntao Li
Ping Li
24
50
0
13 May 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
Bounds all around: training energy-based models with bidirectional
  bounds
Bounds all around: training energy-based models with bidirectional bounds
Cong Geng
Jia Wang
Zhiyong Gao
J. Frellsen
Søren Hauberg
24
15
0
01 Nov 2021
3D Shape Generation and Completion through Point-Voxel Diffusion
3D Shape Generation and Completion through Point-Voxel Diffusion
Linqi Zhou
Yilun Du
Jiajun Wu
DiffM
38
512
0
08 Apr 2021
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
Learning Energy-Based Models With Adversarial Training
Learning Energy-Based Models With Adversarial Training
Xuwang Yin
Shiying Li
Gustavo K. Rohde
AAML
DiffM
33
9
0
11 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models
Improved Contrastive Divergence Training of Energy Based Models
Yilun Du
Shuang Li
J. Tenenbaum
Igor Mordatch
41
139
0
02 Dec 2020
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
107
1,298
0
08 Oct 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
118
17,042
0
19 Jun 2020
Convolutional Generation of Textured 3D Meshes
Convolutional Generation of Textured 3D Meshes
Dario Pavllo
Graham Spinks
Thomas Hofmann
Marie-Francine Moens
Aurelien Lucchi
19
62
0
13 Jun 2020
Residual Energy-Based Models for Text Generation
Residual Energy-Based Models for Text Generation
Yuntian Deng
A. Bakhtin
Myle Ott
Arthur Szlam
MarcÁurelio Ranzato
22
125
0
22 Apr 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 Processes for Exchangeable Data
Energy-Based Processes for Exchangeable Data
Mengjiao Yang
Bo Dai
H. Dai
Dale Schuurmans
22
12
0
17 Mar 2020
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic
  Patterns
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns
Jianwen Xie
Song-Chun Zhu
Ying Nian Wu
GAN
29
52
0
26 Sep 2019
Deep Dilated Convolutional Nets for the Automatic Segmentation of
  Retinal Vessels
Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels
Ali Hatamizadeh
H. Hosseini
Zhengyuan Liu
S. Schwartz
Demetri Terzopoulos
MedIm
11
25
0
28 May 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based
  Models
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
Erik Nijkamp
Mitch Hill
Tian Han
Song-Chun Zhu
Ying Nian Wu
21
151
0
29 Mar 2019
Learning single-image 3D reconstruction by generative modelling of
  shape, pose and shading
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading
Paul Henderson
V. Ferrari
3DV
20
127
0
19 Jan 2019
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D
  Shapes by Learning Global Shape Memories to Support Local View Predictions
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions
Zhizhong Han
Mingyang Shang
Yu-Shen Liu
Matthias Zwicker
SSL
3DV
GAN
19
135
0
07 Nov 2018
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
189
1,941
0
24 Oct 2016
Cooperative Training of Descriptor and Generator Networks
Cooperative Training of Descriptor and Generator Networks
Jianwen Xie
Yang Lu
Ruiqi Gao
Song-Chun Zhu
Ying Nian Wu
GAN
26
140
0
29 Sep 2016
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