PointNorm: Dual Normalization is All You Need for Point Cloud Analysis

13 July 2022

Papers citing "PointNorm: Dual Normalization is All You Need for Point Cloud Analysis"

8 / 8 papers shown

Title
Generating CAD Code with Vision-Language Models for 3D Designs Kamel Alrashedy Pradyumna Tambwekar Z. Zaidi Megan Langwasser Wei Xu Matthew Gombolay 20 6 0 07 Oct 2024
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE Chang-Tien Lu Shen Zheng Zirui Wang O. Dib Gaurav Gupta 19 3 0 28 Jun 2022
Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement Shen Zheng Gaurav Gupta 54 101 0 03 Oct 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis Tiange Xiang Chaoyi Zhang Yang Song Jianhui Yu Weidong (Tom) Cai 3DPC 130 230 0 04 May 2021
3D Point Cloud Processing and Learning for Autonomous Driving Siheng Chen Baoan Liu Chen Feng Carlos Vallespi-Gonzalez Carl K. Wellington 3DPC 41 158 0 01 Mar 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 142 760 0 30 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,696 0 15 Sep 2016