Learning Descriptor Networks for 3D Shape Synthesis and Analysis

2 April 2018

Ruiqi Gao

Papers citing "Learning Descriptor Networks for 3D Shape Synthesis and Analysis"

28 / 28 papers shown

Title
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 Yash Kant Ziyi Wu Michael Vasilkovsky Guocheng Qian Jian Ren R. A. Guler Guohao Li Sergey Tulyakov Igor Gilitschenski Aliaksandr Siarohin DiffM 24 35 0 07 Feb 2024
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 Ziyu Guo Renrui Zhang Longtian Qiu Xianzhi Li Pheng-Ann Heng 3DPC 34 52 0 27 Feb 2023
InfiniCity: Infinite-Scale City Synthesis C. Lin Hsin-Ying Lee Willi Menapace Menglei Chai Aliaksandr Siarohin Ming-Hsuan Yang Sergey Tulyakov VGen 30 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 14 3 0 22 Nov 2022
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 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 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 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 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 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 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 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 Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 33 9 0 11 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 41 138 0 02 Dec 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 92 1,292 0 08 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 118 17,042 0 19 Jun 2020
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 Yuntian Deng A. Bakhtin Myle Ott Arthur Szlam MarcÁurelio Ranzato 20 125 0 22 Apr 2020
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 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 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 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 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 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 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 Jianwen Xie Yang Lu Ruiqi Gao Song-Chun Zhu Ying Nian Wu GAN 26 140 0 29 Sep 2016