RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds

3 February 2022

Papers citing "RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds"

7 / 7 papers shown

Title
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 57 0 0 17 Jan 2025
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity Tianqi Shen Shaohua Liu Jiaqi Feng Ziye Ma Ning An 81 0 0 21 Dec 2024
Topology-Aware Latent Diffusion for 3D Shape Generation Jiangbei Hu Ben Fei Baixin Xu Fei Hou Weidong Yang Shengfa Wang Na Lei Chen Qian Ying He 45 7 0 31 Jan 2024
Explaining the Power of Topological Data Analysis in Graph Machine Learning Funmilola Mary Taiwo Umar Islambekov Cüneyt Gürcan Akçora AI4CE 42 3 0 08 Jan 2024
Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data Dylan Peek Matthew P. Skerritt Stephan Chalup 3DPC 35 1 0 29 Sep 2023
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,131 0 02 Dec 2016
Statistical topological data analysis using persistence landscapes Peter Bubenik 114 846 0 27 Jul 2012