---
license: apache-2.0
---


# Video-Coder 9B Model


This repository contains the Video-Coder-9B for [Video-Coder: Reinforcing Agentic Coding for Video Generation]().


[**🌐 Project Page**]() | [**📖 Paper**]() | [**💻 Code**]()


# 👀 Intro


<div align="center">
  <img src="https://raw.githubusercontent.com/CYWang735/Video-Coder/main/assets/teaser.png" alt="Video-Coder Overview" width="80%">
</div>


We introduce **Video-Coder**, the first attempt to train a **code-driven video generation agent**, which autonomously
writes and executes code to **construct a dynamic 3D scene (Draft Video)** that provides structure and
motion signals to downstream video generators. 

We curate two high-quality datasets, **Video-Coder-SFT-10k** and **Video-Coder-RL-4k**,
which contain diverse prompts and ground-truth reference videos. 

We further develop the **Video-Coder Harness**, a unified interactive environment integrating code execution, 3D scene rendering,
and execution feedback for agent training and inference. 

Video-Coder achieves significant gains,
improving Minimax-H3 by **approximately 7 points on PhyGenBench and 24 points on VBench-2.0**.




## 🎥 Demo




<div align="center">
  <img src="https://raw.githubusercontent.com/CYWang735/Video-Coder/main/assets/qualitative.png" alt="Inference Process" width="85%">
</div>

## 🚀 Training and Inference

For detailed instructions on setup, SFT/RL training, and inference, please refer to the [official GitHub repository](https://github.com/CYWang735/Video-Coder).


## Citation


If you find this work helpful for your research, please consider citing:


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