ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2208.12259
  4. Cited By
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud
  Understanding
v1v2v3 (latest)

Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding

25 August 2022
Guocheng Qian
Abdullah Hamdi
Xingdi Zhang
Guohao Li
    3DPCViT
ArXiv (abs)PDFHTMLGithub (47★)

Papers citing "Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding"

31 / 31 papers shown
Title
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with
  Point-to-Pixel Prompting
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
Ziyi Wang
Xumin Yu
Yongming Rao
Jie Zhou
Jiwen Lu
VPVLMVLM
80
77
0
04 Aug 2022
A Generalist Agent
A Generalist Agent
Scott E. Reed
Konrad Zolna
Emilio Parisotto
Sergio Gomez Colmenarejo
Alexander Novikov
...
Yutian Chen
R. Hadsell
Oriol Vinyals
Mahyar Bordbar
Nando de Freitas
LM&RoLLMAGAI4CE
211
826
0
12 May 2022
Surface Representation for Point Clouds
Surface Representation for Point Clouds
Haoxi Ran
Jun Liu
Chengjie Wang
3DPC
111
158
0
11 May 2022
Masked Autoencoders for Point Cloud Self-supervised Learning
Masked Autoencoders for Point Cloud Self-supervised Learning
Yatian Pang
Wenxiao Wang
Francis E. H. Tay
Wen Liu
Yonghong Tian
Liuliang Yuan
3DPCViT
111
477
0
13 Mar 2022
Geometric Transformer for Fast and Robust Point Cloud Registration
Geometric Transformer for Fast and Robust Point Cloud Registration
Zheng Qin
Hao Yu
Changjian Wang
Yulan Guo
Yuxing Peng
Kaiping Xu
ViT3DPC
79
307
0
14 Feb 2022
Omnivore: A Single Model for Many Visual Modalities
Omnivore: A Single Model for Many Visual Modalities
Rohit Girdhar
Mannat Singh
Nikhil Ravi
Laurens van der Maaten
Armand Joulin
Ishan Misra
268
237
0
20 Jan 2022
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point
  Modeling
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu
Lulu Tang
Yongming Rao
Tiejun Huang
Jie Zhou
Jiwen Lu
3DPC
142
685
0
29 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
477
7,827
0
11 Nov 2021
Early Convolutions Help Transformers See Better
Early Convolutions Help Transformers See Better
Tete Xiao
Mannat Singh
Eric Mintun
Trevor Darrell
Piotr Dollár
Ross B. Girshick
58
773
0
28 Jun 2021
Revisiting Point Cloud Shape Classification with a Simple and Effective
  Baseline
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Ankit Goyal
Hei Law
Bowei Liu
Alejandro Newell
Jia Deng
3DPC
86
230
0
09 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
730
6,135
0
29 Apr 2021
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for
  Image Captioning
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning
Jun Chen
Han Guo
Kai Yi
Boyang Albert Li
Mohamed Elhoseiny
VLM
138
227
0
20 Feb 2021
PCT: Point cloud transformer
PCT: Point cloud transformer
Meng-Hao Guo
Junxiong Cai
Zheng-Ning Liu
Tai-Jiang Mu
Ralph Robert Martin
Shimin Hu
ViT3DPC
177
1,630
0
17 Dec 2020
MVTN: Multi-View Transformation Network for 3D Shape Recognition
MVTN: Multi-View Transformation Network for 3D Shape Recognition
Abdullah Hamdi
Silvio Giancola
Guohao Li
3DV3DPC
105
204
0
26 Nov 2020
Point Transformer
Point Transformer
Nico Engel
Vasileios Belagiannis
Klaus C. J. Dietmayer
3DPC
186
2,008
0
02 Nov 2020
Unsupervised Point Cloud Pre-Training via Occlusion Completion
Unsupervised Point Cloud Pre-Training via Occlusion Completion
Hanchen Wang
Qi Liu
Xiangyu Yue
Joan Lasenby
Matt J. Kusner
3DPC
82
252
0
02 Oct 2020
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset,
  Benchmarks and Challenges
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
Qingyong Hu
Bo Yang
Sheikh Khalid
W. Xiao
A. Trigoni
Andrew Markham
3DPC
55
164
0
07 Sep 2020
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
Ge Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Guohao Li
3DPCGNN
85
174
0
15 Oct 2019
Revisiting Point Cloud Classification: A New Benchmark Dataset and
  Classification Model on Real-World Data
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Mikaela Angelina Uy
Quang Pham
Binh-Son Hua
D. Nguyen
Sai-Kit Yeung
3DV3DPC
110
785
0
13 Aug 2019
Point-Voxel CNN for Efficient 3D Deep Learning
Point-Voxel CNN for Efficient 3D Deep Learning
Zhijian Liu
Haotian Tang
Chengyue Wu
Song Han
3DPC
135
674
0
08 Jul 2019
KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
171
2,546
0
18 Apr 2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Chris Choy
JunYoung Gwak
Silvio Savarese
3DPC
170
1,796
0
18 Apr 2019
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses
  of Familiar Objects
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Michael A. Alcorn
Melvin Johnson
Zhitao Gong
Chengfei Wang
Long Mai
Naveen Ari
Stella Laurenzo
96
298
0
28 Nov 2018
PointConv: Deep Convolutional Networks on 3D Point Clouds
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu
Zhongang Qi
Fuxin Li
3DPC
152
1,570
0
17 Nov 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li
Ben M. Chen
Gim Hee Lee
3DPC
80
938
0
12 Mar 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
260
6,177
0
24 Jan 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
258
2,451
0
23 Jan 2018
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
Benjamin Graham
Martin Engelcke
Laurens van der Maaten
3DPC
110
1,518
0
28 Nov 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH3DPC3DVPINN
500
14,371
0
02 Dec 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
174
5,538
0
09 Dec 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
167
3,220
0
05 May 2015
1