File size: 1,648 Bytes
b50bcb9 32943d5 3d2afc1 32943d5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | ---
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:
```bibtex
``` |