Update README.md

README.md

@@ -14,31 +14,61 @@ This project aims to provide a unified framework for high-fidelity character ani
 - 🌐 [Project Page](https://ssj9596.github.io/one-to-all-animation-project/)
 - 💻 [Code on GitHub](https://github.com/ssj9596/One-to-All-Animation)
 
-## 🌟 Highlights
-
-We provide a **complete and reproducible** training and evaluation pipeline:
-
-- ✅ **Full Training Code**: Three-stage progressive training from scratch
-- ✅ **Complete Benchmarks**: Reproduction code and pre-trained checkpoints
-- ✅ **Flexible Training Codebase**: Multi-resolution, multi-aspect-ratio, and multi-frame training codebase
-- ✅ **Datasets**: Pre-processed open-source datasets + self-collected cartoon data
-
-<br>
-
-## 🎭 Showcase - 1.3B Model Results
-
-<p align="center">
-  <img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/combined_video1.gif" height="300"/> &nbsp;&nbsp; <img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/combined_video2.gif" height="300"/>
-</p>
+## 🎭 Showcase
+
+Our model can adapt a single reference image to various motion patterns, demonstrating flexible motion control capabilities.
+
+#### 14B Model
+
+<table align="center">
+  <tr>
+    <th style="text-align: center;">Reference</th>
+    <th style="text-align: center;">Motion 1</th>
+    <th style="text-align: center;">Motion 2</th>
+    <th style="text-align: center;">Motion 3</th>
+  </tr>
+  <tr>
+    <td align="center" style="padding: 2px;"><img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/examples/new_examples/1.png" width="100"/></td>
+    <td align="center" style="padding: 2px;"><img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/14b_examples/ref_1_motion1.gif" height="250"/></td>
+    <td align="center" style="padding: 2px;"><img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/14b_examples/ref_1_motion2.gif" height="250"/></td>
+    <td align="center" style="padding: 2px;"><img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/14b_examples/ref_1_motion3.gif" height="250"/></td>
+  </tr>
+  <tr>
+    <td align="center" style="padding: 2px;"><img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/examples/new_examples/2.png" width="100""/></td>
+    <td align="center" style="padding: 2px;"><img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/14b_examples/ref_2_motion1.gif" height="250"/></td>
+    <td align="center" style="padding: 2px;"><img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/14b_examples/ref_2_motion2.gif" height="250"/></td>
+    <td align="center" style="padding: 2px;"><img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/14b_examples/ref_2_motion3.gif" height="250"/></td>
+  </tr>
+</table>
 
 <br>
 
-## 🔥 Update
-
-- [2025.11] Paper reproduction and evaluation code released.
-- [2025.11] [Sample training data and Benchmark](https://huggingface.co/datasets/MochunniaN1/One-to-All-sub) on HuggingFace released.
-- [2025.11] Inference and Training codes are released.
-- [2025.11] [1.3B-v1](https://huggingface.co/MochunniaN1/One-to-All-1.3b_1), [1.3B-v2](https://huggingface.co/MochunniaN1/One-to-All-1.3b_2) and  [14B](https://huggingface.co/MochunniaN1/One-to-All-14b) checkpoints are released.
+#### 1.3B Model
+The 1.3 B model also delivers strong performance (from 1.3b_2 ckpt).
+
+<table align="center">
+  <tr>
+    <th style="text-align: center;">Reference</th>
+    <th style="text-align: center;">Motion 1</th>
+    <th style="text-align: center;">Motion 2</th>
+    <th style="text-align: center;">Motion 3</th>
+  </tr>
+  <tr>
+    <td align="center" style="padding: 2px;"><img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/examples/new_examples/3.png" width="100"/></td>
+    <td align="center" style="padding: 2px;"><img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/1.3b_examples/ref3_motion1_1.3b.gif" height="250"/></td>
+    <td align="center" style="padding: 2px;"><img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/1.3b_examples/ref3_motion2_1.3b.gif" height="250"/></td>
+    <td align="center" style="padding: 2px;"><img src="https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/1.3b_examples/ref3_motion3_1.3b.gif" height="250"/></td>
+  </tr>
+</table>
+
+Also support longer video & out-of-domain cases 
+<table align="center">
+  <tr>
+    <td><img src="./https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/1.3b_examples/combined_video1.gif" height="200"/></td>
+    <td>&nbsp;&nbsp;&nbsp;&nbsp;</td>
+    <td><img src="./https://github.com/ssj9596/One-to-All-Animation/raw/main/assets/1.3b_examples/combined_video2.gif" height="200"/> </td>
+  </tr>
+</table>
 
 <br>
 
@@ -228,10 +258,10 @@ If you have any questions, please feel free to reach us at `ssj180123@gmail.com`
 If you find our work helpful or inspiring, please feel free to cite it.
 
 ```bibtex
-@article{shi2025onetoall,
-  title={One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer},
+@article{shi2025one,
+  title={One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfe},
   author={Shi, Shijun and Xu, Jing and Li, Zhihang and Peng, Chunli and Yang, Xiaoda and Lu, Lijing and Hu, Kai and Zhang, Jiangning},
   journal={arXiv preprint arXiv:2511.22940},
   year={2025}
 }
-```
+```