EPCDepth[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Stars: ✭ 105 (+81.03%)
monodepthPython ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"
Stars: ✭ 41 (-29.31%)
Monodepth2[ICCV 2019] Monocular depth estimation from a single image
Stars: ✭ 2,714 (+4579.31%)
tf-monodepth2Tensorflow implementation(unofficial) of "Digging into Self-Supervised Monocular Depth Prediction"
Stars: ✭ 75 (+29.31%)
BridgeDepthFlowBridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019
Stars: ✭ 114 (+96.55%)
Semantic-Mono-DepthGeometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018
Stars: ✭ 98 (+68.97%)
Tsdf FusionFuse multiple depth frames into a TSDF voxel volume.
Stars: ✭ 426 (+634.48%)
Gta Im Dataset[ECCV-20] 3D human scene interaction dataset: https://people.eecs.berkeley.edu/~zhecao/hmp/index.html
Stars: ✭ 157 (+170.69%)
Intrinsic3dIntrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)
Stars: ✭ 297 (+412.07%)
ACVR2017An Innovative Salient Object Detection Using Center-Dark Channel Prior
Stars: ✭ 20 (-65.52%)
3dmatch Toolbox3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
Stars: ✭ 571 (+884.48%)
Arc Robot VisionMIT-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.
Stars: ✭ 224 (+286.21%)
Co FusionCo-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects
Stars: ✭ 400 (+589.66%)
Handeye calib camodocalEasy 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.
Stars: ✭ 364 (+527.59%)
Apc Vision ToolboxMIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.
Stars: ✭ 277 (+377.59%)
ContactposeLarge dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.
Stars: ✭ 129 (+122.41%)
EPCEvery Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Stars: ✭ 27 (-53.45%)
DeTDataset and Code for the paper "DepthTrack: Unveiling the Power of RGBD Tracking" (ICCV2021), and "Depth-only Object Tracking" (BMVC2021)
Stars: ✭ 39 (-32.76%)
rgbd ptamPython implementation of RGBD-PTAM algorithm
Stars: ✭ 65 (+12.07%)
RgbdplanedetectionRGBD plane detection and color-based plane refinement
Stars: ✭ 119 (+105.17%)
DPANetDPANet : Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection
Stars: ✭ 22 (-62.07%)
GeobitNonrigidDescriptor ICCV 2019C++ 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"
Stars: ✭ 11 (-81.03%)
Record3dAccompanying library for the Record3D iOS app (https://record3d.app/). Allows you to receive RGBD stream from iOS devices with TrueDepth camera(s).
Stars: ✭ 102 (+75.86%)
DepthKit-for-MaxA patch for using DepthKit volumetric videos in Max/MSP/Jitter
Stars: ✭ 21 (-63.79%)
StructureNetMarkerless volumetric alignment for depth sensors. Contains the code of the work "Deep Soft Procrustes for Markerless Volumetric Sensor Alignment" (IEEE VR 2020).
Stars: ✭ 38 (-34.48%)
CilantroA lean C++ library for working with point cloud data
Stars: ✭ 577 (+894.83%)
VolumetriccaptureA multi-sensor capture system for free viewpoint video.
Stars: ✭ 243 (+318.97%)
Tsdf Fusion PythonPython code to fuse multiple RGB-D images into a TSDF voxel volume.
Stars: ✭ 464 (+700%)
RGBDAcquisitionA uniform library wrapper for input from V4L2,Freenect,OpenNI,OpenNI2,DepthSense,Intel Realsense,OpenGL simulations and other types of video and depth input..
Stars: ✭ 56 (-3.45%)
MaskfusionMaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
Stars: ✭ 404 (+596.55%)
3dgnn pytorch3D Graph Neural Networks for RGBD Semantic Segmentation
Stars: ✭ 187 (+222.41%)
dvo pythonCoding dense visual odometry in a little more than a night (yikes)!
Stars: ✭ 40 (-31.03%)
Open3d MlAn extension of Open3D to address 3D Machine Learning tasks
Stars: ✭ 284 (+389.66%)
Suncgtoolbox C++ based toolbox for the SUNCG dataset
Stars: ✭ 136 (+134.48%)
TorchSSCImplement 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)
Stars: ✭ 35 (-39.66%)
maplab realsenseSimple ROS wrapper for the Intel RealSense driver with a focus on the ZR300.
Stars: ✭ 22 (-62.07%)
referit3dCode accompanying our ECCV-2020 paper on 3D Neural Listeners.
Stars: ✭ 59 (+1.72%)
Cen[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)
Stars: ✭ 112 (+93.1%)
SurfConvCode & data for SurfConv paper at CVPR18
Stars: ✭ 54 (-6.9%)
RGBD-SOD-datasetsAll those partitioned RGB-D Saliency Datasets we collected are shared in ready-to-use manner.
Stars: ✭ 46 (-20.69%)
ESANetESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Stars: ✭ 154 (+165.52%)
DeepdepthdenoisingThis repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf (ICCV19)
Stars: ✭ 96 (+65.52%)
RGB-D-SLAMWork in Progress. A SLAM implementation based on plane and superquadric tracking.
Stars: ✭ 23 (-60.34%)
3DGNNNo description or website provided.
Stars: ✭ 56 (-3.45%)
DmraCode and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".
Stars: ✭ 76 (+31.03%)
learning-topology-synthetic-dataTensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
Stars: ✭ 22 (-62.07%)
PeacFast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)
Stars: ✭ 51 (-12.07%)
M4DepthOfficial implementation of the network presented in the paper "M4Depth: A motion-based approach for monocular depth estimation on video sequences"
Stars: ✭ 62 (+6.9%)
seq2singleVisual place recognition from opposing viewpoints under extreme appearance variations
Stars: ✭ 15 (-74.14%)
All4DepthSelf-Supervised Depth Estimation on Monocular Sequences
Stars: ✭ 58 (+0%)
shrec17Supplementary code for SHREC 2017 RGB-D Object-to-CAD Retrieval track
Stars: ✭ 27 (-53.45%)