demo new examples

app.py

@@ -192,19 +192,13 @@ def demo_run(image: str,
 
 markdown_description = """
     # SceneDINO Demo
-
     [Paper](https://arxiv.org/abs/xxxx.xxxxx) | [Code](https://github.com/tum-vision/scenedino) | [Project Page](https://visinf.github.io/scenedino/)
 
     Upload a single image to infer 3D geometry and semantics with **SceneDINO**. You can find some example images below.
-
+    
     <span style="color:orange">⚠️ NOTE: We assume the intrinsic camera matrix of KITTI-360, images are cropped and rescaled to 192x640. Further note our demo's voxel limit of 5M. </span>
     """
 
-    # - **Feature PCA**
-    # We visualize our high-dimensional feature field using PCA and visualizing three of the components in RGB. Interactively adjust which are visualized.
-    # - **SSC** (Semantic Scene Completion)
-    # Our features are used downstream for semantic predictions. Choose between the fully unsupervised approach or the linear probing approach.
-
 demo = gr.Interface(
     demo_run,
     inputs=[

demo_utils/examples/log.csv

@@ -1,2 +1,5 @@
 image, mode, sigma_threshold, resolution, x_range, y_range, z_range
-"kitti-360.png","DINOv2 (ViT-B)","Feature PCA 1-3",0.25,0.25,20,20,50
+"kitti-360-1.png","DINOv2 (ViT-B)","Feature PCA 1-3",0.25,0.25,20,20,50
+"kitti-360-2.png","DINO (ViT-B)","SSC (unsup.)",0.25,0.25,20,20,50
+"kitz.jpg","DINO (ViT-B)","Feature PCA 1-3",0.5,0.25,20,20,30
+"gasteig.jpg","DINOv2 (ViT-B)","SSC (linear)",0.5,0.25,20,20,30