ericwang0701

ieeevr-2024-tutorial

CenterHMR

CenterHMR: a bottom-up single-shot method for multi-person 3D mesh recovery from a single image

clip-glass

Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"

CoverSystem

Real-Time Dynamic Cover System for Unreal Engine 4

ericwang0701.github.io

New personal website

face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

FaceMeshBarracuda

MediaPipe Face Mesh (facial landmark detector) for Unity Barracuda

fairmotion

Tools to load, process and visualize motion capture data

GAST-Net-3DPoseEstimation

A Graph Attention Spatio-temporal Convolutional Networks for 3D Human Pose Estimation in Video (GAST-Net)

GnTCN

Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos

heroku-flask-api

Deploy an API built with Flask on Heroku, in order to match game banners.

ManualNavMesh

Sample Unreal Engine project for creating Detour NavMeshes manually

MeInGame

MeInGame: Create a Game Character Face from a Single Portrait, AAAI 2021

metrabs

This is a computer vision algorithm that takes a single RGB image as the input and estimates 3D human poses as the output.

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).

natural-language-youtube-search

Search inside YouTube videos using natural language

neural-blend-shapes

An end-to-end library for automatic character rigging, skinning, and blend shapes generation, as well as a visualization tool [SIGGRAPH 2021]

Neural-Re-Rendering-of-Humans-from-a-Single-Image

Pytorch implementation of the paper, Neural re-rendering of humans from a single image.

neural-textures

Inference code for "StylePeople: A Generative Model of Fullbody Human Avatars" paper. This code is for the part of the paper describing video-based avatars.

neuralbody

Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021

NeuralRecon

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

Oscar

Oscar and VinVL

Pathfinding

recastnavigation

Navigation-mesh Toolset for Games

rgbd-kinect-pose

Demo for Real-time RGBD-based Extended Body Pose Estimation paper

SGN

Official pytorch implementation of the AAAI 2021 paper "Semantic Grouping Network for Video Captioning"

style-people

Inference code for "StylePeople: A Generative Model of Fullbody Human Avatars" paper

synse-zsl

Official PyTorch code for the paper 'Syntactically Guided Generative Embeddings For Zero Shot Skeleton Action Recognition'

Unsupervised-Representation-Learning-with-Long-Term-Dynamics-for-Skeleton-Based-Action-Recognition

AAAI-2018

vision-based-prediction

Deep Learning for Vision-based Prediction