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license: apache-2.0
pipeline_tag: text-generation
---
# Video-Coder SFT Model
This repository contains the Video-Coder-SFT-9B for [Video-Coder: Reinforcing Agentic Coding for Video Generation](https://huggingface.co/papers/2611.09894).
[**🌐 Project Page**](https://cywang735.github.io/Video-Coder/) | [**📖 Paper**](https://arxiv.org/abs/2611.09894) | [**💻 Code**](https://github.com/CYWang735/Video-Coder)
# 👀 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>
## Citation
If you find this work helpful for your research, please consider citing:
```bibtex
``` |