dongdongzi

dongdongzi

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dongdongzi's repositories

digital_human_video_player

带HTTP API的数字人视频播放器,使用gradio api对接Easy-Wav2Lip、Sadtalker、GeneFacePlusPlus、MuseTalk,也可以用于播放本地视频

License:GPL-3.0Stargazers:0Issues:0Issues:0

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

License:GPL-3.0Stargazers:0Issues:0Issues:0

metahuman-stream

Real time streaming digital human based on nerf

License:MITStargazers:0Issues:0Issues:0

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

License:Apache-2.0Stargazers:0Issues:0Issues:0

SystemAnimatorOnline

XR Animator, AI-based Full Body Motion Capture and Extended Reality (XR) solution, powered by System Animator Online

Stargazers:0Issues:0Issues:0

openpose

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

License:NOASSERTIONStargazers:0Issues:0Issues:0

TransPose

A real-time motion capture system that estimates poses and global translations using only 6 inertial measurement units

License:GPL-3.0Stargazers:0Issues:0Issues:0

Thin-Plate-Spline-Motion-Model

[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.

License:MITStargazers:0Issues:0Issues:0

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

License:MITStargazers:0Issues:0Issues:0

Realtime-Action-Recognition

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

License:MITStargazers:0Issues:0Issues:0

hifi3dface

Code and data for our paper "High-Fidelity 3D Digital Human Creation from RGB-D Selfies".

License:NOASSERTIONStargazers:0Issues:0Issues:0

HigherHRNet-Human-Pose-Estimation

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)

License:MITStargazers:0Issues:0Issues:0