351 Open source projects that are alternatives of or similar to Semantic3dnet

Keras implementation for Pointnet

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

CloudCompare main repository

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Understanding facial beauty with deep learning.

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

This is the official implementation of RSNet.

Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

TensorFlow implementation of DmitryUlyanov/texture_nets

Cluster based segmentation of Point Cloud with PCL lib in ROS

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud

High-Level Training, Data Augmentation, and Utilities for Pytorch

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

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.

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

Torch implementation for audio neural style.

Accompanying library for the Record3D iOS app (https://record3d.app/). Allows you to receive RGBD stream from iOS devices with TrueDepth camera(s).

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

PyTorch tutorial for learners

Lightweight and Accurate Point Cloud Clustering

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

Grid-GCN for Fast and Scalable Point Cloud Learning

3D Heritage Online Presenter

A learned sampling approach for point clouds (CVPR 2019)

open Multi-View Stereo reconstruction library

A small Java-based tool for the generation of point cloud visualization datasets according to Cesium 3D Tiles.

Deep-Learning based CTR models implemented by PyTorch

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Deep Learning Dockerfiles

DeepNude Command Line Version With Watermark Removed

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

Laia: A deep learning toolkit for HTR based on Torch

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

Polylidar3D - Fast polygon extraction from 3D Data

Patch-base progressive 3D Point Set Upsampling

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

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

User-friendly, commercial-grade software for processing aerial imagery. 🛩

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

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

Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Connecting Torch to StarCraft

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

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

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

Pytorch implementation of the DeepDream computer vision algorithm

Code for Pointwise Convolutional Neural Networks, CVPR 2018

Torch Containers simplified in PyTorch

[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Paperlist of awesome 3D detection methods

Python binding of 3D visualization library Pangolin

Neural Point-Based Graphics

code/webpage for the DeepMapping project

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)