SDUerHuman

SDUerHuman: A repository for recording the learning process of embodied intelligence.

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Table of Contents

• Description
• News
• Installation
• Guider
• Contact

Description

This repository aims to document and summarize papers and repositories in the fields of embodied intelligence, human motion generation, and related areas. It also provides practical usage guidance for the included resources.

• 📂 Codes: Contains implementations of common models, including diffusion-based methods and others, with usage examples.
• 📂 Datasets: Includes commonly used datasets, preprocessing scripts, and models, along with instructions on how to use them.
• 📂 Papers: Provides survey summaries, paper reviews, and reproduction notes to help understand the latest research trends and insights.

⚡ This repository is continuously updated with new papers, code, and datasets!

News

• 📖 29 October 2025: Provided a script that converts 272-dimensional motion representation (MotionStreamer) into SMPL-X parameters and visualizes it, and a script that converts 263-dimensional motion representation (HumanML3D) into global joint coordinates and visualizes it.here

• 📝 23 October 2025: Human Motion Generation Survey (Ongoing 🔄). here

• 📖 22 October 2025: Provides an introduction to the SMPLX model and instructions for its use; follow the steps in the .ipynb notebook to run the code and visualize the results with Wid3D. here

• 🆕 22 October 2025: The repository was established.

Installation

To get started, clone this repository and follow the guidance in the Guider section.
According to the instructions for each part, install the required packages, models, and environments.

# Clone the repository
git clone https://github.com/LiuYZ2024/SDUerHuman.git
cd SDUerHuman

# environment
conda env create -f environment.yml
# install wis3d
pip install https://github.com/zju3dv/Wis3D/releases/download/2.0.0/wis3d-2.0.0-py3-none-any.whl

Guider

This section provides links to important resources and surveys included in this repository:

• SMPLX ------ Link to it
• Human Motion Generation Survey ------ Link to it
• Motion Representation Comparison ------ Link to it

Contact

lyzle2024@163.com