pranavkdm / R-PointHop

[ECCV 2022] S2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning

#计算机科学#My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy...

[IEEE RAL 2022] UGMM: Unsupervised Point Cloud Registration by Learning Unified Gaussian Mixture Models

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

[CVPR 2020] MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

Rui Qian, Xin Lai, Xirong Li: BADet: Boundary-Aware 3D Object Detection from Point Clouds (Pattern Recognition 2022: IF=8.518)

#计算机科学#[TITS] reliable dense matching based point cloud registration for autonomous driving

[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465

#计算机科学#Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

#计算机科学#This is the official MegEngine implementation of FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration, AAAI 2022

SGPN:Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation, CVPR, 2018

[TNNLS] Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction

Edge-Conditioned Convolutions on Graphs