Update gradio_app.py

gradio_app.py

@@ -536,6 +536,10 @@ with gr.Blocks() as demo:
         """
     # SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
 
+    <a href="https://arxiv.org/abs/2501.04689"><img src="https://img.shields.io/badge/Arxiv-2501.04689-B31B1B.svg"></a><a href="https://huggingface.co/stabilityai/stable-point-aware-3d"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Model_Card-Huggingface-orange"></a>
+    <br>
+    # [Project Page](https://spar3d.github.io/)
+
     SPAR3D is a state-of-the-art method for 3D mesh reconstruction from a single image. This demo allows you to upload an image and generate a 3D mesh model from it. A feature of SPAR3D is it generates point clouds as intermediate representation before producing the mesh. You can edit the point cloud to adjust the final mesh. We provide a simple point cloud editor in this demo, where you can drag, recolor and rescale the point clouds. If you have more advanced editing needs (e.g. box selection, duplication, local streching, etc.), you can download the point cloud and edit it in softwares such as MeshLab or Blender. The edited point cloud can then be uploaded to this demo to generate a new 3D model by checking the "Point cloud upload" box.
 
     **Tips**