Multiresolution Tree Networks for 3D Point Cloud Processing

10 July 2018

Papers citing "Multiresolution Tree Networks for 3D Point Cloud Processing"

50 / 68 papers shown

Title
Wasserstein Flow Matching: Generative modeling over families of distributions Doron Haviv Aram-Alexandre Pooladian Dana Peér Brandon Amos OOD 47 0 0 01 Nov 2024
Generating CAD Code with Vision-Language Models for 3D Designs Kamel Alrashedy Pradyumna Tambwekar Z. Zaidi Megan Langwasser Wei Xu Matthew Gombolay 52 9 0 07 Oct 2024
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones Carlos Plou Pablo Pueyo Ruben Martinez-Cantin Mac Schwager Ana C. Murillo Eduardo Montijano 139 0 0 28 Aug 2024
AutoEncoding Tree for City Generation and Applications Wenyu Han Congcong Wen Lazarus Chok Yan Liang Tan Sheung Lung Chan Hang Zhao Chen Feng 3DPC 35 3 0 27 Sep 2023
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models Zhimin Chen Longlong Jing Yingwei Li Bing Li 37 31 0 15 May 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 40 52 0 27 Feb 2023
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud Yachao Zhang Zhonghao Li Yuan Xie Yanyun Qu Cuihua Li Tao Mei 3DPC 26 94 0 09 Dec 2022
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation Nikolai Kalischek T. Peters Jan Dirk Wegner Konrad Schindler DiffM 33 12 0 23 Nov 2022
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding Honggu Zhou Xiaogang Peng Jiawei Mao Zizhao Wu Ming Zeng 3DPC 24 3 0 22 Nov 2022
3DLatNav: Navigating Generative Latent Spaces for Semantic-Aware 3D Object Manipulation Amaya Dharmasiri Dinithi Dissanayake Mohamed Afham Isuru Dissanayake Ranga Rodrigo Kanchana Thilakarathna 3DPC 33 0 0 17 Nov 2022
PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack Junxuan Huang Yatong An Lu Cheng Bai Chen Junsong Yuan Chunming Qiao 3DPC 32 1 0 14 Sep 2022
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation Gopal Sharma K. Yin Subhransu Maji E. Kalogerakis Litany Sanja Fidler 3DV 3DPC 31 12 0 18 Aug 2022
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees Jun-Kun Chen Yu-xiong Wang 3DPC 31 2 0 11 Aug 2022
Recovering Detail in 3D Shapes Using Disparity Maps Marissa Ramirez de Chanlatte Matheus Gadelha Thibault Groueix R. Měch 34 0 0 01 Jul 2022
AGConv: Adaptive Graph Convolution on 3D Point Clouds Mingqiang Wei Zeyong Wei Hao Zhou Fei-Jiang Hu Huajian Si ... Jingbo Qiu Xu Yan Yan Guo Jun Wang J. Qin 3DPC 44 39 0 09 Jun 2022
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives Xinke Li Henghui Ding Zekun Tong Yuwei Wu Yeow Meng Chee DD 45 4 0 25 May 2022
Surface Representation for Point Clouds Haoxi Ran Jun Liu Chengjie Wang 3DPC 44 157 0 11 May 2022
Autoregressive 3D Shape Generation via Canonical Mapping A. Cheng Xueting Li Sifei Liu Min Sun Ming-Hsuan Yang 3DPC 50 39 0 05 Apr 2022
POS-BERT: Point Cloud One-Stage BERT Pre-Training Kexue Fu Peng Gao Shaolei Liu Renrui Zhang Yu Qiao Manning Wang 3DPC 35 18 0 03 Apr 2022
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds Junsheng Zhou Xin Wen Baorui Ma Yu-Shen Liu Yue Gao Yi Fang Zhizhong Han 3DPC 41 17 0 26 Mar 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning Cheng Zhang Jian Shi X. Deng Zizhao Wu 3DPC 32 8 0 21 Mar 2022
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding Mohamed Afham Isuru Dissanayake Dinithi Dissanayake Amaya Dharmasiri Kanchana Thilakarathna Ranga Rodrigo 3DPC 18 252 0 01 Mar 2022
Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model En Yen Puang Hao Zhang Hongyuan Zhu Wei Jing 3DPC 35 8 0 13 Feb 2022
Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning Kexue Fu Peng Gao Renrui Zhang Hongsheng Li Yu Qiao Manning Wang SSL 3DPC 30 23 0 09 Feb 2022
SRPCN: Structure Retrieval based Point Completion Network Kaiyi Zhang Ximing Yang Yuan Wu Cheng Jin 3DPC 32 3 0 06 Feb 2022
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation Gopal Sharma Bidya Dash Aruni RoyChowdhury Matheus Gadelha Marios Loizou Liangliang Cao Rui Wang Erik Learned-Miller Subhransu Maji E. Kalogerakis 3DPC 32 13 0 27 Dec 2021
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning Juyoung Yang Pyunghwan Ahn Doyeon Kim Haeil Lee Junmo Kim 3DPC 27 21 0 09 Dec 2021
Adaptive Channel Encoding for Point Cloud Analysis Guoquan Xu Hezhi Cao Yifan Zhang Jianwei Wan Ke Xu Yanxin Ma 3DPC 23 0 0 05 Dec 2021
Learning Inner-Group Relations on Point Clouds Haoxi Ran Wei Zhuo Jing Liu Li Lu 3DPC 40 59 0 27 Aug 2021
Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis Guoquan Xu Hezhi Cao Yifan Zhang Jianwei Wan Ke Xu Yanxin Ma 3DPC 34 1 0 20 Aug 2021
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection Yongming Rao Benlin Liu Yi Wei Jiwen Lu Cho-Jui Hsieh Jie Zhou 3DPC 33 50 0 17 Aug 2021
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning Bianli Du Xiang Gao Wei Hu Xin Li 3DPC SSL 23 81 0 05 Jul 2021
3D Shape Generation and Completion through Point-Voxel Diffusion Linqi Zhou Yilun Du Jiajun Wu DiffM 38 514 0 08 Apr 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations Xiang Gao Wei Hu Guo-Jun Qi 39 6 0 01 Mar 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 137 267 0 07 Jan 2021
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts Ji Hou Benjamin Graham Matthias Nießner Saining Xie 3DPC 61 262 0 16 Dec 2020
ChartPointFlow for Topology-Aware 3D Point Cloud Generation Takumi Kimura Takashi Matsubara K. Uehara 3DPC 31 8 0 04 Dec 2020
Deep Sketch-Based Modeling: Tips and Tricks Yue Zhong Yulia Gryaditskaya Honggang Zhang Yi-Zhe Song 24 34 0 12 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
Self-supervised Learning of Point Clouds via Orientation Estimation Omid Poursaeed Tianxing Jiang Quintessa Qiao N. Xu Vladimir G. Kim 3DPC SSL 16 116 0 01 Aug 2020
Progressive Point Cloud Deconvolution Generation Network Le Hui Rui Xu Jin Xie J. Qian Jian Yang 3DPC 27 72 0 10 Jul 2020
A Closer Look at Local Aggregation Operators in Point Cloud Analysis Ze Liu Han Hu Yue Cao Zheng Zhang Xin Tong 3DPC 29 182 0 02 Jul 2020
Convolutional Generation of Textured 3D Meshes Dario Pavllo Graham Spinks Thomas Hofmann Marie-Francine Moens Aurelien Lucchi 19 62 0 13 Jun 2020
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds Kibok Lee Zhuoyuan Chen Xinchen Yan R. Urtasun Ersin Yumer 3DPC 23 30 0 24 May 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
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions Matheus Gadelha Aruni RoyChowdhury Gopal Sharma E. Kalogerakis Liangliang Cao Erik Learned-Miller Rui Wang Subhransu Maji 3DPC 31 45 0 30 Mar 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds Yongming Rao Jiwen Lu Jie Zhou 3DPC 33 131 0 29 Mar 2020
Energy-Based Processes for Exchangeable Data Mengjiao Yang Bo Dai H. Dai Dale Schuurmans 22 12 0 17 Mar 2020
PF-Net: Point Fractal Network for 3D Point Cloud Completion Zitian Huang Yikuan Yu Jiawen Xu Feng Ni Xinyi Le 3DPC 44 357 0 01 Mar 2020
Hypernetwork approach to generating point clouds Przemysław Spurek Sebastian Winczowski Jacek Tabor M. Zamorski Maciej Ziȩba Tomasz Trzciñski 3DPC 47 34 0 10 Feb 2020