chunyuwang Goto Github PK
Name: Chunyu Wang
Type: User
Bio: Researcher at Microsoft Research Asia
Location: Beijing
Name: Chunyu Wang
Type: User
Bio: Researcher at Microsoft Research Asia
Location: Beijing
Easily create a beautiful website using Academic and Hugo
fast image augmentation library and easy to use wrapper around other libraries
Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext
Code and resources for camera calibration using arUco markers and opencv
Tensorflow implementation of the CVPR 2018 paper: Neural Kinematic Networks for Unsupervised Motion Retargetting
Collection of dotfiles
Make human motion capture easier.
A simple baseline for one-shot multi-object tracking
Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.
This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)
📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Minimal Inverse Kinematics library
An Inverse Kinematics library aiming performance and modularity
This is an official Pytorch implementation of "Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach, CVPR 2020".
This is an official implementation of the work "Optimizing Network Structure for 3D Human Pose Estimation, ICCV 2019"
Solving SMPL/MANO parameters from keypoint coordinates.
Jupyter notebook tutorials for mmpose
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).
Non-chain inverse kinematics solver for MoveIt!
This is an official Pytorch implementation of "Cross View Fusion for 3D Human Pose Estimation, ICCV 2019". It establishes a new state-of-the-art in this field. The 3D error of our approach is about 26mm on the H36M dataset.
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
This is an official implementation of our CVPR 2023 paper "Human Pose as Compositional Tokens" (https://arxiv.org/pdf/2303.11638.pdf)
PyTorch实践指南对应代码
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.