Update README.md

README.md

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-license: apache-2.0
-
----
-
-UniFuture
-
+---
+library_name: pytorch
+pipeline_tag: other
+license: apache-2.0
+tags:
+  - computer-vision
+  - autonomous-driving
+  - world-model
+  - future-prediction
+  - depth-estimation
+  - image-to-image
+  - 4d-scene-understanding
+  - nuscenes
+  - unifuture
+---
+
+# UniFuture
+
+**UniFuture: A 4D Driving World Model for Future Generation and Perception**
+
+Official Hugging Face repository for **UniFuture**.
+
+## Model description
+
+UniFuture is a driving world model that jointly models future scene **appearance** and **geometry** within a unified framework.  
+Given the current image as input, it predicts future **RGB-depth pairs** for future generation and perception.
+
+According to the project description, UniFuture introduces:
+
+- **Dual-Latent Sharing** for shared latent learning between image and depth sequences
+- **Multi-scale Latent Interaction** for bidirectional refinement between image and depth features across spatial scales
+
+## Paper
+
+**UniFuture: A 4D Driving World Model for Future Generation and Perception**  
+ICRA 2026
+
+## Repository contents
+
+- `unifuture.safetensors`: pretrained model weights
+
+## Task
+
+This repository is intended for research use on **driving world modeling**, including:
+
+- future scene generation
+- future depth prediction
+- future perception
+
+## Dataset
+
+The paper reports experiments on **nuScenes**.
+
+## Usage
+
+Please refer to the official GitHub repository for training, evaluation, and detailed usage instructions:
+
+`https://github.com/dk-liang/UniFuture`
+
+## License
+
+Apache-2.0
+
+## Citation
+
+```bibtex
+@inproceedings{liang2026UniFuture,
+  title={UniFuture: A 4D Driving World Model for Future Generation and Perception},
+  author={Liang, Dingkang and Zhang, Dingyuan and Zhou, Xin and Tu, Sifan and Feng, Tianrui and Li, Xiaofan and Zhang, Yumeng and Du, Mingyang and Tan, Xiao and Bai, Xiang},
+  booktitle={IEEE International Conference on Robotics and Automation},
+  year={2026}
+}