Update README.md

README.md

@@ -1,6 +1,7 @@
 ---
 language:
 - en
+license: mit
 base_model:
 - Wan-AI/Wan2.1-I2V-14B-480P-Diffusers
 pipeline_tag: video-to-video
@@ -10,4 +11,44 @@ tags:
 - 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.