755 Open source projects that are alternatives of or similar to pyRANSAC-3D

Semantic3D segmentation with Open3D and PointNet++

Pytorch framework for doing deep learning on point clouds.

End-to-end, automatic face swapping pipeline

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Grid-GCN for Fast and Scalable Point Cloud Learning

pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

SLAM - Simultaneous localization and mapping using OpenCV and NumPy.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Keras implementation for Pointnet

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Code for PCN: Point Completion Network in 3DV'18 (Oral)

Visualize Data From Stray Scanner https://keke.dev/blog/2021/03/10/Stray-Scanner.html

A resource repository for 3D machine learning

SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral

The open source mesh processing system

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

PROSAC algorithm in python

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

A lean C++ library for working with point cloud data

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

A list of resources about deep learning solutions on 3D shape processing

Pytorch framework for doing deep learning on point clouds.

Papers and Datasets about Point Cloud.

3D Graph Neural Networks for RGBD Semantic Segmentation

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

open Multi-View Stereo reconstruction library

JetScan : GPU accelerated portable RGB-D reconstruction system

PyTorch Code of our WACV2020 paper: Silhouette Guided Point Cloud Reconstruction beyond Occlusion

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

TF2 implementation of PointNet for segmenting point clouds

Official repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Collecting papers about new view synthesis

Axon/Myelin segmentation using Deep Learning

Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Python 3 library for analysis of neuroanatomical data

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

HyperSeg - Official PyTorch Implementation

Urban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

Chinese word segmentation in tensorflow 2.x

Semantic-TSDF for Self-driving Static Scene Reconstruction

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

ECCV 2020 papers focusing on point cloud analysis

LiDAR fog simulation

Libtorch Examples

[ICCV21] Code for "RetrievalFuse: Neural 3D Scene Reconstruction with a Database"

The code for preparing the training data for crowd counting / segmentation algorithm.

napari plugin for cellpose (see www.cellpose.org) - an anatomical segmentation tool

MERlin is an extensible analysis pipeline applied to decoding MERFISH data

🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)

Adaptive Surface Reconstruction for 3D Data Processing