311 Open source projects that are alternatives of or similar to superpose3d

Pure Numpy Implementation of the Coherent Point Drift Algorithm

Papers and Datasets about Point Cloud.

A collection of GICP-based fast point cloud registration algorithms

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

[ACM MM 2022] You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors

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

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

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

Robotics with GPU computing

Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.

Multi-threaded and SSE friendly NDT algorithm

[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering

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

PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322

code/webpage for the DeepMapping project

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

The PyTorch Implementation of F-ConvNet for 3D Object Detection

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

Julia bindings for the displaz lidar viewer

✏️ Hackathon registration server

3D Graph Neural Networks for RGBD Semantic Segmentation

L-CAS 3D Point Cloud Annotation Tool

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

A hackable lidar viewer

The open source mesh processing system

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Django app for frictionless signup

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]

Implementation of the Point Transformer layer, in Pytorch

[ICRA 2020] Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands

orb-slam2 with semantic label

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

No description or website provided.

[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)

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

A high-performance neural network library for point cloud processing.

Motion Averaging

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Non-rigid iterative closest point, nricp.

Research platform for 3D object detection in PyTorch.

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Differentiable Surface Splatting

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features

Paperlist of awesome 3D detection methods

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

Python binding of 3D visualization library Pangolin

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

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

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

Experiments on unsupervised point cloud reconstruction.

A package to validate email domains in a user registration form

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

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

Neural Point-Based Graphics