335 Open source projects that are alternatives of or similar to MinkLocMultimodal

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

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

Paper list of deep learning on point clouds.

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea

Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021

Learning low-shot object classification with explicit shape bias learned from point clouds

orb-slam2 with semantic label

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

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

Differentiable Surface Splatting

Implementation of the Point Transformer layer, in Pytorch

A Fast and Robust Place Recognition Approach for Stereo Visual Odometry using LiDAR Descriptors

Papers and Datasets about Point Cloud.

(CVPR2021) Kaleido-BERT: Vision-Language Pre-training on Fashion Domain.

Research platform for 3D object detection in PyTorch.

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

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

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

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

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

Paperlist of awesome 3D detection methods

Python binding of 3D visualization library Pangolin

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

Neural Point-Based Graphics

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

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

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

Improved Deep Metric Learning with Multi-class N-pair Loss Objective

3D Graph Neural Networks for RGBD Semantic Segmentation

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

L-CAS 3D Point Cloud Annotation Tool

awesome few shot / meta learning papers

A hackable lidar viewer

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

The open source mesh processing system

Awesome Few-shot learning

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

Robotics with GPU computing

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

Julia bindings for the displaz lidar viewer

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

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

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

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

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

Visualising LIDAR data from KITTI dataset.

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

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

The public CGAL repository, see the README below

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

Grid-GCN for Fast and Scalable Point Cloud Learning

Python bindings for the Point Cloud Library (PCL)

code/webpage for the DeepMapping project

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

An alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review