Update README.md

README.md

@@ -1,5 +1,4 @@
 ---
-library_name: trellis
 pipeline_tag: image-to-3d
 license: mit
 language:
@@ -17,11 +16,12 @@ This repository contains the official PyTorch implementation of SceneGen: https:
 </div>
 
 ## 🌟 Some Information
-[Project Page](https://mengmouxu.github.io/SceneGen/) $\cdot$ [Paper](https://arxiv.org/abs/2508.15769/) $\cdot$ [Checkpoints](https://huggingface.co/haoningwu/SceneGen/)
+[Project Page](https://mengmouxu.github.io/SceneGen/) · [Paper](https://arxiv.org/abs/2508.15769/) · [Checkpoints](https://huggingface.co/haoningwu/SceneGen/)
 
 ## ⏩ News
-- [2025.8] Our pre-print paper is released on arXiv.
 - [2025.8] The inference code and checkpoints are released.
+- [2025.8] Our pre-print paper has been released on arXiv.
+
 
 ## 📦 Installation & Pretrained Models
 
@@ -46,7 +46,7 @@ This repository contains the official PyTorch implementation of SceneGen: https:
     The detailed usage of `setup.sh` can be found by running `. ./setup.sh --help`.
 
 ### Pretrained Models
-1. First create a directory in the SceneGen folder to store the checkpoints:
+1. First, create a directory in the SceneGen folder to store the checkpoints:
     ```sh
     mkdir -p checkpoints
     ```
@@ -131,4 +131,4 @@ If you use this code and data for your research or project, please cite:
 Many thanks to the code bases from [TRELLIS](https://github.com/microsoft/TRELLIS), [DINOv2](https://github.com/facebookresearch/dinov2), and [VGGT](https://github.com/facebookresearch/vggt).
 
 ## Contact
-If you have any questions, please feel free to contact [[email protected]](mailto:[email protected]) and [[email protected]](mailto:[email protected]).
+If you have any questions, please feel free to contact [[email protected]](mailto:[email protected]) and [[email protected]](mailto:[email protected]).