Contrast with Reconstruct: Contrastive 3D Representation Learning Guided
by Generative Pretraining

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

5 February 2023

Xiangyu Zhang

Papers citing "Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining"

9 / 59 papers shown

Title
Relation-Shape Convolutional Neural Network for Point Cloud Analysis Yongcheng Liu Bin Fan Shiming Xiang Chunhong Pan 3DPC 96 893 0 16 Apr 2019
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 170 3,452 0 05 May 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 255 6,132 0 24 Jan 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Wu Xinhan Di Baoquan Chen 3DPC 228 2,442 0 23 Jan 2018
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 144 2,826 0 15 Jun 2017
A Point Set Generation Network for 3D Object Reconstruction from a Single Image Haoqiang Fan Hao Su Leonidas Guibas 3DPC 3DV 157 2,237 0 02 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 474 14,302 0 02 Dec 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 305 8,114 0 13 Aug 2016
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 153 5,522 0 09 Dec 2015