Source code of CVPR 2024 paper 'FastMAC: Stochastic Spectral Sampling of Correspondence Graph'

[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"

This repository contains several baseline algorithms for cross-source point cloud registration.

Point Cloud Registration using Representative Overlapping Points. https://arxiv.org/abs/2107.02583.

A curated list of point cloud registration.

End-to-end Point Cloud Correspondences with Transformers

Overlap-guided Gaussian Mixture Models for Point Cloud Registration

Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations

Leveraging Inlier Correspondences Proportion for Point Cloud Registration. https://arxiv.org/abs/2201.12094.

[TPAMI 2023] RoReg: Pairwise Point Cloud Registration with Oriented Descriptors and Local Rotations

This repository is the implementation of our CVPR 2020 work: "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences"

Papers and Datasets about Point Cloud.

[ECCV 2024] This repository represents the official implementation of PARE-Net: Position-Aware Rotation-Equivariant Networks for Robust Point Cloud Registration

[ECCV 2024] UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration

A Simple Point Cloud Registration Network based on PointNet.

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

[A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling, 2024, CVPR]

TANet: Towards Fully Automatic Tooth Arrangement - Implementation

Point Cloud Upsampling with Kernel Point Representation and Deformation

Kernel Point Convolution implemented in PyTorch

Code for the 3DV 2022 oral paper "Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians"

ACM MM 2022

Fast and robust algorithm to extract edges in unorganized point clouds

[ICCV 2023] GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation

[ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion"

Point Cloud Upsampling via Disentangled Refinement, CVPR, 2021

PU-GACNet