awesome-visual-localization-papersThe relocalization task aims to estimate the 6-DoF pose of a novel (unseen) frame in the coordinate system given by the prior model of the world.
Stars: ✭ 60 (-71.7%)
HybrIKOfficial code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
Stars: ✭ 395 (+86.32%)
PazHierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
Stars: ✭ 131 (-38.21%)
Aruco trackerAruco Markers for pose estimation
Stars: ✭ 111 (-47.64%)
CapeOfficial implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615
Stars: ✭ 132 (-37.74%)
GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
Stars: ✭ 1,744 (+722.64%)
People Counting PoseOdin: Pose estimation-based tracking and counting of people in videos
Stars: ✭ 147 (-30.66%)
Eao Slam[IROS 2020] EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
Stars: ✭ 95 (-55.19%)
OchumanapiAPI for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.
Stars: ✭ 168 (-20.75%)
3dpose ganThe authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
Stars: ✭ 124 (-41.51%)
Lili OmLiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
Stars: ✭ 159 (-25%)
CpmConvolutional Pose Machines in TensorFlow
Stars: ✭ 115 (-45.75%)
SynthdetSynthDet - An end-to-end object detection pipeline using synthetic data
Stars: ✭ 148 (-30.19%)
Nuitrack SdkNuitrack™ is a 3D tracking middleware developed by 3DiVi Inc.
Stars: ✭ 103 (-51.42%)
AmassData preparation and loader for AMASS
Stars: ✭ 180 (-15.09%)
Exposure correctionReference code for the paper "Learning Multi-Scale Photo Exposure Correction", CVPR 2021.
Stars: ✭ 98 (-53.77%)
Posenet CoremlI checked the performance by running PoseNet on CoreML
Stars: ✭ 143 (-32.55%)
DeeplpfCode for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"
Stars: ✭ 91 (-57.08%)
Gccpm Look Into Person Cvpr19.pytorchFast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.
Stars: ✭ 137 (-35.38%)
DeeplabcutOfficial implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Stars: ✭ 2,550 (+1102.83%)
Flownet2 DockerDockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)
Stars: ✭ 137 (-35.38%)
A2jCode for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019
Stars: ✭ 190 (-10.38%)
Up Detr[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Stars: ✭ 126 (-40.57%)
HandposeA python program to detect and classify hand pose using deep learning techniques
Stars: ✭ 168 (-20.75%)
SmplppC++ Implementation of SMPL: A Skinned Multi-Person Linear Model
Stars: ✭ 126 (-40.57%)
Augmented reality💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.
Stars: ✭ 165 (-22.17%)
Posefromshape(BMVC 2019) PyTorch implementation of Paper "Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects"
Stars: ✭ 124 (-41.51%)
HopeSource code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"
Stars: ✭ 184 (-13.21%)
EvoskeletonOfficial project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"
Stars: ✭ 154 (-27.36%)
Iros20 6d Pose Tracking[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Stars: ✭ 113 (-46.7%)
OrnOriented Response Networks, in CVPR 2017
Stars: ✭ 207 (-2.36%)
Ylg[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".
Stars: ✭ 109 (-48.58%)
Stylegan.pytorchA PyTorch implementation for StyleGAN with full features.
Stars: ✭ 150 (-29.25%)
Pose2poseThis is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !
Stars: ✭ 182 (-14.15%)
Stefann🔥 STEFANN: Scene Text Editor using Font Adaptive Neural Network @ The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
Stars: ✭ 148 (-30.19%)
FingerposeFinger pose classifier for hand landmarks detected by TensorFlow.js handpose model
Stars: ✭ 102 (-51.89%)
MocapnetWe present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).
Stars: ✭ 194 (-8.49%)
Papers读过的CV方向的一些论文,图像生成文字、弱监督分割等
Stars: ✭ 99 (-53.3%)
Jsis3d[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds
Stars: ✭ 144 (-32.08%)
Dhf1kRevisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)
Stars: ✭ 96 (-54.72%)
DeepmatchvoImplementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
Stars: ✭ 178 (-16.04%)
Improved Body PartsSimple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
Stars: ✭ 202 (-4.72%)
Multiposenet.pytorchpytorch implementation of MultiPoseNet (ECCV 2018, Muhammed Kocabas et al.)
Stars: ✭ 191 (-9.91%)