PCRDiffusion: Diffusion Probabilistic Models for Point Cloud
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PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration

11 December 2023

Xiaoshui Huang

Papers citing "PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration"

7 / 7 papers shown

Title
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators Harry Zhang Luca Carlone 3DH 66 1 0 27 May 2024
OnePose: One-Shot Object Pose Estimation without CAD Models Jiaming Sun Zihao Wang Siyu Zhang Xingyi He He Hongcheng Zhao Guofeng Zhang Xiaowei Zhou 98 148 0 24 May 2022
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion Zhaoyang Lyu Zhifeng Kong Xudong Xu Liang Pan Dahua Lin DiffM BDL 222 121 0 07 Dec 2021
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 195 516 0 06 Dec 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 180 721 0 02 Mar 2021
Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences Xiaoshui Huang Guofeng Mei Jian Zhang 3DPC 65 245 0 03 May 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 222 14,103 0 02 Dec 2016