Popular GitHub Repositories for Rgbd

An extension of Open3D to address 3D Machine Learning tasks

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)

A paper list of RGBD semantic segmentation (processing)

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

[ECCV2022] FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

[CVPR 2022] Code release for "Multimodal Token Fusion for Vision Transformers"

Object Detection on Radar sensor and RGB camera images. https://ieeexplore.ieee.org/document/9191046 Full Thesis : RADAR+RGB Fusion for Robust Object Detection in Autonomous Vehicles. Zenodo. https://doi.org/10.5281/zenodo.13738235

Official implementation of the paper " FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything "

TriDepth: Triangular Patch-based Deep Depth Prediction [Kaneko+, ICCVW2019(oral)]

Official code repository for the paper: "The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement"

Official code repository for the paper: "Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography"

Python ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"

CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection

Official Code Repository for the CoRL 2024 Paper: "Toward General Object-Level Mapping from Sparse Views with 3D Diffusion Priors"

NTU RGB+D Dataset Action Recognition with GNNs and CNNs

6D Object Pose Estimation using RGBD Data and Fast-ICP

Time series Forecasting on the NTU_RGB+D skeleton dataset using AutoFormer and FEDFormer