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Goal-Drift-Dataset

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Image-to-Image

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Goal-Drift-Dataset

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---
license: apache-2.0
language:
- en
- zh
task_categories:
- image-to-image
size_categories:
- 100K<n<1M
---
# Model Card for *MineDreamer* 🔥

<!-- Provide a quick summary of what the model is/does. -->

[![arXiv](https://img.shields.io/badge/arXiv%20papr-2403.12037-b31b1b.svg)](https://arxiv.org/abs/2403.12037)

[![project page](https://img.shields.io/badge/Play%20with%20MineDreamer%21-MineDreamer%20project%20page-lightblue)](https://sites.google.com/view/minedreamer/main)

*MineDreamer* is an instructable embodied agent for simulated control and it is developed on top of recent advances in Multimodal Large Language Models (MLLMs) and diffusion models!



<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63f08dc79cf89c9ed1bb89cd/S62I1Tn5qz5qJ3IkgMHH8.png" width=93%>
<p>
  
*MineDreamer* can follow instructions steadily by employing a Chain-of-Imagination (CoI) mechanism to envision the step-by-step process of executing instructions and translating imaginations into more precise visual prompts tailored to the current state; subsequently, it generates keyboard-and-mouse actions to efficiently achieve these imaginations,


<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63f08dc79cf89c9ed1bb89cd/LJxBMChCFng_RkXwUotfk.png" width=93%>
<p>

**This repo is used for hosting MineDreamer's Goal Drift Dataset.**

For more details or tutorials see https://github.com/Zhoues/MineDreamer.