490 Open source projects that are alternatives of or similar to Depth-Guided-Inpainting

Just draw a bounding box and you can remove the object you want to remove.

[ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation

LiDAR fog simulation

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

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

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

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

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

Papers and Datasets about Point Cloud.

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

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

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

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.

Experiments on unsupervised point cloud reconstruction.

Custom mask function for prompt-password that adds a 'strength progress meter' that changes color as the password strength increases. Uses zxcvbn, the popular password strength estimation tool brought to you by dropbox.

ECCV'20 paper 'Toward Fine-grained Facial Expression Manipulation' code

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

Julia bindings for the displaz lidar viewer

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

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

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

Robotics with GPU computing

A customizable React Native TextInput with its placeholder always shown. Includes masks, global styles, character count, and a bunch else.

No description or website provided.

ROS node for real-time FCNN depth reconstruction

Self Driving Cars Longitudinal and Lateral Control Design

Image inpainting algorithms in Julia

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

Input mask for Angular/Ionic

Efficient 3D Deep Learning

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

Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking…

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Superimposes your image into a 3D world using Metal+Arkit

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

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

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

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

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

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

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

Visualising LIDAR data from KITTI dataset.

The public CGAL repository, see the README below

格式化输入框，可用来格式化数字、金额、号码等; FormatEditText can be used as a formatted text input box

Python bindings for the Point Cloud Library (PCL)

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

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

The detection of peaks and valleys in a 1d-vector or 2d-array (image)

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

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

Official code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020.

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

Implementation of the Point Transformer layer, in Pytorch

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