---
language:
- en
license: mit
base_model:
- Wan-AI/Wan2.1-I2V-14B-480P-Diffusers
pipeline_tag: video-to-video
library_name: diffusers
tags:
- egocentric
- exocentric
- exo-to-ego
- ic-lora
---

# EgoX: Egocentric Video Generation from a Single Exocentric Video

This repository provides **model weights** of **EgoX**, a video-to-video generation model that synthesizes **egocentric (first-person) videos** from a **single exocentric (third-person) video**.  
EgoX is built on top of a large-scale video diffusion backbone and enables exo-to-ego viewpoint transformation without requiring multi-view inputs.

For detailed results, implementation details, and demo videos, please refer to our **[paper](https://arxiv.org/abs/2512.08269)** and **[project repository](https://keh0t0.github.io/EgoX/)**.


---

## Usage

Please refer to the **[Quick Start](https://github.com/DAVIAN-Robotics/EgoX?tab=readme-ov-file#-inference)** section for instructions on running inference and required preprocessing steps.

---

## Citation

If you find this model or code useful in your research, please cite our paper:

```bibtex
@misc{kang2025egoxegocentricvideogeneration,
  title={EgoX: Egocentric Video Generation from a Single Exocentric Video},
  author={Taewoong Kang and Kinam Kim and Dohyeon Kim and Minho Park and Junha Hyung and Jaegul Choo},
  year={2025},
  eprint={2512.08269},
  archivePrefix={arXiv},
  primaryClass={cs.CV},
  url={https://arxiv.org/abs/2512.08269},
}
```

## Acknowledgement

This work builds upon the valuable open-source efforts of  
[4DNeX](https://github.com/3DTopia/4DNeX) and  
[EgoExo4D](https://github.com/facebookresearch/Ego-Exo).

We sincerely appreciate their contributions to the computer vision and robotics communities.