289 Open source projects that are alternatives of or similar to Multiperson

Tools and tutorials of pose estimation and deep learning

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

Pytroch version of Convolutional Pose Machines

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019

Real time Fight Detection Based on 2D Pose Estimation and RNN Action Recognition

[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

A python program to detect and classify hand pose using deep learning techniques

test example of paper, Can WiFi Estimate Person Pose?

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

Detects Chinese traffic police commanding poses 检测中国交警指挥手势

Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet

Human Pose estimation with TensorFlow framework

C++ Implementation of SMPL: A Skinned Multi-Person Linear Model

📹🤸‍♂️🤾‍♀️🤺 PoseNet + OSC: send realtime human pose estimation data to your apps

💎 "Marker-less Augmented Reality" with OpenCV and OpenGL.

[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

(BMVC 2019) PyTorch implementation of Paper "Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects"

Crawler used to crawl papers

Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Chainer implementation of Pose Proposal Networks

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

pytorch implementation of openpose including Hand and Body Pose Estimation.

Oriented Response Networks, in CVPR 2017

OpenMMLab Pose Estimation Toolbox and Benchmark.

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

A PyTorch implementation for StyleGAN with full features.

🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

This 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 !

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)

DeMoN: Depth and Motion Network

🔥 STEFANN: Scene Text Editor using Font Adaptive Neural Network @ The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020.

A deep neural network for face alignment

Finger pose classifier for hand landmarks detected by TensorFlow.js handpose model

[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

We 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).

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)

读过的CV方向的一些论文，图像生成文字、弱监督分割等

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

NVIDIA Dataset Utilities (NVDU)

Pytorch implementation of pose proposal networks

face keypoints deteciton based on stackedhourglass

Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation

pytorch implementation of MultiPoseNet (ECCV 2018, Muhammed Kocabas et al.)

3D hand pose estimation via dense regression