fix: runtime error caused by null pointers.

README.md

@@ -10,8 +10,6 @@ pinned: false
 short_description: Efficient 3D city generation in seconds!
 ---
 
-IMPORTANT NOTE: We're facing technical difficulties and will resolve them as soon as possible.
-
 Official demo for **[Generative Gaussian Splatting for Unbounded 3D City Generation](https://github.com/hzxie/GaussianCity) (CVPR 2025).**
 
 - 🔥 GaussianCity is a unbounded 3D city generator based on 3D Gaussian Splatting.

app.py

@@ -197,9 +197,9 @@ def main(debug):
     app = gr.Interface(
         get_generated_city,
         [
-            gr.Slider(256, 768, value=512, step=4, label="Camera Radius (m)"),
-            gr.Slider(256, 768, value=512, step=4, label="Camera Altitude (m)"),
-            gr.Slider(0, 360, value=60, step=5, label="Camera Azimuth (°)"),
+            gr.Slider(256, 960, value=768, step=4, label="Camera Radius (m)"),
+            gr.Slider(256, 960, value=768, step=4, label="Camera Altitude (m)"),
+            gr.Slider(0, 360, value=210, step=5, label="Camera Azimuth (°)"),
             gr.Slider(1024, 7168, value=3570, step=4, label="Map Center (px)"),
         ],
         [gr.Image(type="numpy", label="Generated City")],

gaussiancity/generator.py

@@ -89,7 +89,7 @@ class Generator(torch.nn.Module):
             )
         elif self.cfg.ENCODER is None:
             pt_feat = torch.empty(
-                rel_xyz.size(0), rel_xyz.size(1), 0, device=proj_uv.device
+                rel_xyz.size(0), rel_xyz.size(1), 0, device=rel_xyz.device
             )
 
         # print(pt_feat.size())  # torch.Size([B, n_pts, cfg.ENCODER_OUT_DIM - 3])