Improve model card: Add pipeline tag, paper, project page, and code links

This PR enhances the model card for the `hlwang06/WorldCanvas` model by adding crucial information for better discoverability and user guidance.

Specifically, it:
- Adds the `pipeline_tag: image-to-video` to the metadata, correctly categorizing the model on the Hub.
- Includes a link to the official paper: [The World is Your Canvas: Painting Promptable Events with Reference Images, Trajectories, and Text](https://huggingface.co/papers/2512.16924).
- Provides a link to the project page: https://worldcanvas.github.io/.
- Adds a link to the GitHub repository: https://github.com/pPetrichor/WorldCanvas.

The `library_name` and a dedicated sample usage section have been omitted as the model's inference mechanism relies on custom scripts and does not align with predefined Hugging Face libraries or provide a concise programmatic snippet, respecting the specified disclaimers.

README.md

@@ -1,3 +1,33 @@
----
-license: cc-by-nc-sa-4.0
----
+---
+license: cc-by-nc-sa-4.0
+pipeline_tag: image-to-video
+---
+
+# The World is Your Canvas: Painting Promptable Events with Reference Images, Trajectories, and Text
+
+WorldCanvas is an I2V framework for promptable world events that enables rich, user-directed simulation by combining text, trajectories, and reference images. It allows for the generation of coherent, controllable events that include multi-agent interactions, object entry/exit, reference-guided appearance, and counterintuitive events.
+
+-   **📄 Paper**: [The World is Your Canvas: Painting Promptable Events with Reference Images, Trajectories, and Text](https://huggingface.co/papers/2512.16924)
+-   **🌐 Project Page**: https://worldcanvas.github.io/
+-   **💻 Code on GitHub**: https://github.com/pPetrichor/WorldCanvas
+
+<div align="center">
+  <img src="https://github.com/user-attachments/assets/cc8f7fd6-fd89-47e9-b2bf-38298131d1f7" alt="WorldCanvas Demo" width="100%">
+</div>
+
+## Setup and Inference
+
+For detailed setup, checkpoint download, and comprehensive inference instructions (with or without reference images), please refer to the guide on the [official GitHub repository](https://github.com/pPetrichor/WorldCanvas#setup). The repository provides command-line steps and Gradio interfaces for generating conditions and videos.
+
+## Citation
+
+If you find this work useful, please consider citing our paper:
+
+```bibtex
+@article{wang2025worldcanvas,
+  title={The World is Your Canvas: Painting Promptable Events with Reference Images, Trajectories, and Text},
+  author={Hanlin Wang and Hao Ouyang and Qiuyu Wang and Yue Yu and Yihao Meng and Wen Wang and Ka Leong Cheng and Shuailei Ma and Qingyan Bai and Yixuan Li and Cheng Chen and Yanhong Zeng and Xing Zhu and Yujun Shen and Qifeng Chen},
+  journal={arXiv preprint arXiv:2512.16924},
+  year={2025}
+}
+```