630 Open source projects that are alternatives of or similar to mix3d

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

A simpler way of reading and augmenting image segmentation data into TensorFlow

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

A pointnet++ fork, with focus on semantic segmentation of differents datasets

Cut and paste augmentation for object detection and instance segmentation

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

Corresponding implementations for the IROS 2018 paper "Modular Sensor Fusion for Semantic Segmentation"

our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'

OpenCV .Net application supporting several RGBD cameras - Kinect, Intel RealSense, Luxonis Oak-D, Mynt Eye D 1000, and StereoLabs ZED 2

A list of popular deep learning models related to classification, segmentation and detection problems

Code for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"

Implementation details for EDANet

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

Efficient 3D Deep Learning

register 3D point clouds using rotation, translation, and scale transformations.

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

TF2 implementation of PointNet for segmenting point clouds

Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

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

2D and 3D UNet implementation in PyTorch.

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

Caffe: a fast open framework for deep learning.

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

30th June, 2019 - 30th June, 2020. Robotics and Machine Intelligence Lab, The Hong Kong Polytechnic University. This work is supported in part by the Chinese National Engineering Research Centre for Steel Construction (Hong Kong Branch) at The Hong Kong Polytechnic University under grant BBV8, in part by the Research Grants Council of Hong Kong …

Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.

No description or website provided.

[IROS, 2020] Indoor Scene Recognition in 3D

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

Cell Detection with PyTorch.

[ICLR2022] official implementation of UniFormer

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

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

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

Implemetation of Pyramid Scene Parsing Network in Pytorch

Implementing polyp segmentation using the U-Net and CVC-612 dataset.

MFNet-pytorch, image semantic segmentation using RGB-Thermal images

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Autonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…

No description or website provided.

Experiments on unsupervised point cloud reconstruction.

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

Paper list of deep learning on point clouds.

Kidney Tumor Segmentation Challenge 2019

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

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

Julia bindings for the displaz lidar viewer

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

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

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

Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.

Templated python inferface for Point Cloud Library (PCL) based on Cython