Add model card and metadata

README.md

@@ -1,4 +1,31 @@
 ---
 license: mit
+pipeline_tag: image-to-video
+library_name: diffusers
 ---
-arxiv.org/abs/2508.07409
+
+# CharacterShot: Controllable and Consistent 4D Character Animation
+
+[CharacterShot](https://arxiv.org/abs/2508.07409) is a controllable and consistent 4D character animation framework that enables any individual designer to create dynamic 3D characters from a single reference character image and a 2D pose sequence.
+
+- **Paper:** [CharacterShot: Controllable and Consistent 4D Character Animation](https://arxiv.org/abs/2508.07409)
+- **Code:** [GitHub Repository](https://github.com/Jeoyal/CharacterShot)
+- **Authors:** [Junyao Gao](https://huggingface.co/Gaojunyao), [Jiaxing Li](https://huggingface.co/LiJiaxing), Wenran Liu, [Yanhong Zeng](https://huggingface.co/zengyh1900), Fei Shen, Kai Chen, Yanan Sun, Cairong Zhao
+
+## Introduction
+
+CharacterShot begins by pretraining a powerful 2D character animation model based on a DiT-based image-to-video model (CogVideoX). It lifts the animation model from 2D to 3D through introducing dual-attention module together with camera prior to generate multi-view videos with spatial-temporal and spatial-view consistency. Finally, it employs a novel neighbor-constrained 4D gaussian splatting optimization on these multi-view videos, resulting in continuous and stable 4D character representations.
+
+## Citation
+
+```bibtex
+@article{gao2025charactershot,
+  title={CharacterShot: Controllable and Consistent 4D Character Animation},
+  author={Gao, Junyao and Li, Jiaxing and Liu, Wenran and Zeng, Yanhong and Shen, Fei and Chen, Kai and Sun, Yanan and Zhao, Cairong},
+  journal={arXiv preprint arXiv:2508.07409},
+  year={2025},
+}
+```
+
+## Acknowledgements
+The code is built upon [CogVideo](https://github.com/THUDM/CogVideo).