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

25 August 2022

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

6 / 6 papers shown

Title
Omnivore: A Single Model for Many Visual Modalities Rohit Girdhar Mannat Singh Nikhil Ravi L. V. D. van der Maaten Armand Joulin Ishan Misra 209 222 0 20 Jan 2022
PointCLIP: Point Cloud Understanding by CLIP Renrui Zhang Ziyu Guo Wei Zhang Kunchang Li Xupeng Miao Bin Cui Yu Qiao Peng Gao Hongsheng Li VLM 3DPC 164 428 0 04 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 286 5,723 0 29 Apr 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 139 618 0 21 Jul 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 14,047 0 02 Dec 2016