junxuanbai Goto Github PK
Name: Junxuan Bai
Type: User
Bio: Junxuan Bai got his Ph.D in Computer Science from Beihang University in 2021. His research interests include Computer Graphics and VR/AR.
Location: Beijing, China
Name: Junxuan Bai
Type: User
Bio: Junxuan Bai got his Ph.D in Computer Science from Beihang University in 2021. His research interests include Computer Graphics and VR/AR.
Location: Beijing, China
PyTorch implementation for our paper Learning Character-Agnostic Motion for Motion Retargeting in 2D, SIGGRAPH 2019
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
Character Animation in Unity3D using Deep Learning and Artificial Intelligence
Data structures and utilities for skeleton animations.
Python module for parsing BVH (Biovision hierarchical data) mocap files
my own implementation of the WCSPH, DFSPH and PBD fluid solvers using CUDA and C++
Tensorflow Implementation of ECCV'18 paper: Multimodal Human Motion Synthesis
Non official project based on original /r/Deepfakes thread. Many thanks to him!
Fast Automatic Skinning Transformations
Flower Factory: A Component-based Approach for Rapid Flower Modeling
[WACV 2020] Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints
Interactive field-aligned mesh generator
Homepage
A Python Multiple kernel learning library.
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).
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Opt DSL
3D human face estimation and rendering from a single image
PositionBasedDynamics is a library for the physically-based simulation of rigid bodies, deformable solids and fluids.
A parameter space based FEM program, based on Jernej Barbic's FEM library Vega(http://run.usc.edu/vega/), you can find an example here: http://www.cnblogs.com/dydx/p/4290878.html. 一个在参数空间进行有限元模拟的程序,基于Vega平台,我的开发笔记在这里http://www.cnblogs.com/dydx/
Personal website
Extracts human motion in video and save it as bvh mocap file.
Convert human motion from video to .bvh
Convert video to the bvh motion file
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.