Safetensors
qwen3_5

Video-Coder SFT Model

This repository contains the Video-Coder-SFT-9B for Video-Coder: Reinforcing Agentic Coding for Video Generation.

๐ŸŒ Project Page | ๐Ÿ“– Paper | ๐Ÿ’ป Code

๐Ÿ‘€ Intro

Video-Coder Overview

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.

๐ŸŽฅ Demo

Inference Process

Citation

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


Downloads last month
219
Safetensors
Model size
1.47M params
Tensor type
BF16
ยท
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for Video-Coder/Video-Coder-SFT-9B

Quantizations
1 model

Paper for Video-Coder/Video-Coder-SFT-9B