51 Open source projects that are alternatives of or similar to nyuv2-meta-data

A multi-sensor capture system for free viewpoint video.

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.

3D Graph Neural Networks for RGBD Semantic Segmentation

[ECCV-20] 3D human scene interaction dataset: https://people.eecs.berkeley.edu/~zhecao/hmp/index.html

C++ based toolbox for the SUNCG dataset

Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.

train test labels for sunrgbd

RGBD plane detection and color-based plane refinement

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

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

This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)

PyTorch Implementation of some RGBD Semantic Segmentation models.

Code and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

ROS wrapper for openni 2.0

A lean C++ library for working with point cloud data

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

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

Fuse multiple depth frames into a TSDF voxel volume.

MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

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

An extension of Open3D to address 3D Machine Learning tasks

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

Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior (CVPR 2020)

An Innovative Salient Object Detection Using Center-Dark Channel Prior

StaticFusion

Dataset and Code for the paper "DepthTrack: Unveiling the Power of RGBD Tracking" (ICCV2021), and "Depth-only Object Tracking" (BMVC2021)

Simple ROS wrapper for the Intel RealSense driver with a focus on the ZR300.

DPANet : Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection

Code accompanying our ECCV-2020 paper on 3D Neural Listeners.

C++ implementation of the nonrigid descriptor Geobit presented at ICCV 2019 "GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images"

Code & data for SurfConv paper at CVPR18

A patch for using DepthKit volumetric videos in Max/MSP/Jitter

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

Markerless volumetric alignment for depth sensors. Contains the code of the work "Deep Soft Procrustes for Markerless Volumetric Sensor Alignment" (IEEE VR 2020).

Work in Progress. A SLAM implementation based on plane and superquadric tracking.

Coding dense visual odometry in a little more than a night (yikes)!

DIODE Development Toolkit

Supplementary code for SHREC 2017 RGB-D Object-to-CAD Retrieval track

RGB-D Scribble-based Segmentation Benchmark

No description or website provided.

EU funded Horizon 2020 project

A uniform library wrapper for input from V4L2,Freenect,OpenNI,OpenNI2,DepthSense,Intel Realsense,OpenGL simulations and other types of video and depth input..

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

Python implementation of RGBD-PTAM algorithm

All those partitioned RGB-D Saliency Datasets we collected are shared in ready-to-use manner.

A paper list of RGBD semantic segmentation (processing)

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation