Update README.md

README.md

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-# 👩‍⚖️ [**MJ-Bench**: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?](https://mj-bench.github.io/)
+# MJ-Bench Team: Align
+
+
+## 😎 [**MJ-Video**: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation](https://aiming-lab.github.io/MJ-VIDEO.github.io/)
+
+We release MJ-Bench-Video, a comprehensive fine-grained video preference benchmark, and MJ-Video, a powerful MoE-based multi-dimensional video reward model!
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+
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+## 👩‍⚖️ [**MJ-Bench**: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?](https://mj-bench.github.io/)
 
 Project page: https://mj-bench.github.io/
 Code repository: https://github.com/MJ-Bench/MJ-Bench
@@ -16,7 +25,7 @@ While text-to-image models like DALLE-3 and Stable Diffusion are rapidly prolife
 
 To address this issue, we introduce MJ-Bench, a novel benchmark which incorporates a comprehensive preference dataset to evaluate multimodal judges in providing feedback for image generation models across four key perspectives: **alignment**, **safety**, **image quality**, and **bias**. 
 
-![Dataset Overview](https://raw.githubusercontent.com/MJ-Bench/MJ-Bench.github.io/main/static/images/dataset_overview.png)
+<!-- ![Dataset Overview](https://raw.githubusercontent.com/MJ-Bench/MJ-Bench.github.io/main/static/images/dataset_overview.png) -->
 
 Specifically, we evaluate a large variety of multimodal judges including 
 
@@ -24,7 +33,7 @@ Specifically, we evaluate a large variety of multimodal judges including
 - 11 open-source VLMs (e.g. LLaVA family)
 - 4 and close-source VLMs (e.g. GPT-4o, Claude 3)
 - 
-![Radar Plot](https://raw.githubusercontent.com/MJ-Bench/MJ-Bench.github.io/main/static/images/radar_plot.png)
+<!-- ![Radar Plot](https://raw.githubusercontent.com/MJ-Bench/MJ-Bench.github.io/main/static/images/radar_plot.png) -->
 
 
 🔥🔥We are actively updating the [leaderboard](https://mj-bench.github.io/) and you are welcome to submit the evaluation result of your multimodal judge on [our dataset](https://huggingface.co/datasets/MJ-Bench/MJ-Bench) to [huggingface leaderboard](https://huggingface.co/spaces/MJ-Bench/MJ-Bench-Leaderboard).