Update README.md

README.md

@@ -5,13 +5,29 @@ language:
 base_model:
 - lmsys/vicuna-7b-v1.5
 ---
-# Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
 
-
-[![arXiv](https://img.shields.io/badge/arXiv-2504.07198-b31b1b.svg)](https://arxiv.org/abs/2504.07198)
-[![Model Weights](https://img.shields.io/badge/%F0%9F%A4%97%20Weights-FaceLLaVA-orange)](https://huggingface.co/chaubeyG/FaceLLaVA)
-[![License](https://img.shields.io/badge/license-USC%20Research-green)](LICENSE.rst)
-[![Python](https://img.shields.io/badge/Python-3.10+-blue.svg)](https://www.python.org/)
+<div align="center">
+  <img src="./facellava_logo.png" width="300">
+
+  <h1>Facial Expression and Attribute Understanding through Instruction Tuning</h1>
+  <h3>WACV 2026</h3>
+
+  <p>
+    <a href="https://arxiv.org/abs/2504.07198">
+      <img src="https://img.shields.io/badge/arXiv-2504.07198-b31b1b.svg" alt="arXiv">
+    </a>
+    <a href="https://huggingface.co/chaubeyG/FaceLLaVA">
+      <img src="https://img.shields.io/badge/%F0%9F%A4%97%20Weights-FaceLLaVA-orange" alt="Model Weights">
+    </a>
+    <a href="LICENSE.rst">
+      <img src="https://img.shields.io/badge/license-USC%20Research-green" alt="License">
+    </a>
+    <a href="https://www.python.org/">
+      <img src="https://img.shields.io/badge/Python-3.10+-blue.svg" alt="Python Version">
+    </a>
+  </p>
+  <br>
+</div>
 
 This is the official released weights of of the **WACV 2026 Round 1** Early Accept paper (6.4% acceptance rate) - Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning. Please refer to the [official github repository](https://github.com/ihp-lab/face-llava) for instructions to run inference.
 
@@ -127,7 +143,11 @@ The human face plays a central role in social communication, necessitating the u
 
 ## ⚖️ License
 
-This code is distributed under the USC Research license. See [LICENSE.rst](LICENSE.rst) for more details.
+This codebase is distributed under the USC Research license. See [LICENSE.rst](LICENSE.rst) for more details.
+
+## 🙌 Credits
+
+This codebase builds upon the following excellent works: [VideoLLaVA](https://github.com/PKU-YuanGroup/Video-LLaVA), [LLaVA](https://github.com/haotian-liu/LLaVA) and [LLaVA-Next](https://github.com/LLaVA-VL/LLaVA-NeXT). We gratefully acknowledge their contributions to the open-source community.
 
 ## 🪶 Citation