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Junxuan Bai's Projects

2d-motion-retargeting icon 2d-motion-retargeting

PyTorch implementation for our paper Learning Character-Agnostic Motion for Motion Retargeting in 2D, SIGGRAPH 2019

3dmm_cnn icon 3dmm_cnn

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

ai4animation icon ai4animation

Character Animation in Unity3D using Deep Learning and Artificial Intelligence

anim_utils icon anim_utils

Data structures and utilities for skeleton animations.

bvh-python icon bvh-python

Python module for parsing BVH (Biovision hierarchical data) mocap files

eccv18_mtvae icon eccv18_mtvae

Tensorflow Implementation of ECCV'18 paper: Multimodal Human Motion Synthesis

faceswap icon faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

fast icon fast

Fast Automatic Skinning Transformations

flowerfactory icon flowerfactory

Flower Factory: A Component-based Approach for Rapid Flower Modeling

footskate_reducer icon footskate_reducer

[WACV 2020] Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints

mklaren icon mklaren

A Python Multiple kernel learning library.

mocapnet icon mocapnet

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 icon openpose

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

pix2face icon pix2face

3D human face estimation and rendering from a single image

positionbaseddynamics icon positionbaseddynamics

PositionBasedDynamics is a library for the physically-based simulation of rigid bodies, deformable solids and fluids.

rigfem icon rigfem

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/

video2bvh icon video2bvh

Extracts human motion in video and save it as bvh mocap file.

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