diff --git a/README.md b/README.md
index 60be944..a8b9fbc 100644
--- a/README.md
+++ b/README.md
@@ -66,3 +66,12 @@ python3 run.py \
 │       └── splatfacto
 │           └── {splat torch model}
 ```
+
+### Preview Images
+
+The pipeline can optionally generate two preview images of the trained Gaussian Splat:
+
+- **preview_top.png**: Top-down view showing the spatial footprint/floor-plan layout
+- **preview_angle.png**: Angled ¾-view showing depth and vertical structure
+
+These are best-effort and may not render if the training fails or GPU is unavailable.
diff --git a/render_previews.py b/render_previews.py
new file mode 100644
index 0000000..1139617
--- /dev/null
+++ b/render_previews.py
@@ -0,0 +1,192 @@
+#!/usr/bin/env python3
+"""
+Render preview images from a trained Gaussian Splatting model.
+Generates top-down and angled (¾-view) preview images.
+"""
+
+import argparse
+import numpy as np
+from pathlib import Path
+from plyfile import PlyData
+import subprocess
+import sys
+import json
+
+
+def compute_splat_bounding_box(ply_path: Path):
+    """Read the splat.ply file and compute centroid and bounding box."""
+    plydata = PlyData.read(ply_path)
+    vertices = plydata['vertex'].data
+    
+    positions = np.vstack((vertices['x'], vertices['y'], vertices['z'])).T
+    
+    centroid = positions.mean(axis=0)
+    min_bound = positions.min(axis=0)
+    max_bound = positions.max(axis=0)
+    extent = max_bound - min_bound
+    
+    return centroid, min_bound, max_bound, extent
+
+
+def generate_camera_json(camera_type: str, centroid: np.ndarray, extent: np.ndarray, output_path: Path):
+    """
+    Generate a camera JSON file for ns-render.
+    
+    camera_type: 'top_down' or 'angled'
+    """
+    # Add some margin to the bounding box
+    margin = 1.2
+    
+    if camera_type == 'top_down':
+        # Top-down: camera directly above centroid, looking down
+        # Assuming Y is up in the splat coordinate system
+        camera_height = centroid[1] + extent[1] * margin
+        camera_position = [centroid[0], camera_height, centroid[2]]
+        camera_target = centroid.tolist()
+        camera_up = [0, 0, -1]  # Orient so that +Z in image is -Z in world (north)
+        
+        # Calculate FOV to fit the entire XZ extent
+        fov = 90  # degrees, wide angle for top-down view
+        
+    elif camera_type == 'angled':
+        # Angled ¾-view: camera at corner, elevated ~45 degrees
+        # Place at one of the upper corners of the bounding box
+        corner_x = centroid[0] + extent[0] * 0.5 * margin
+        corner_z = centroid[2] + extent[2] * 0.5 * margin
+        corner_y = centroid[1] + extent[1] * 0.8 * margin
+        
+        camera_position = [corner_x, corner_y, corner_z]
+        camera_target = centroid.tolist()
+        camera_up = [0, 1, 0]  # Y is up
+        
+        # Wide FOV for angled view
+        fov = 60
+        
+    else:
+        raise ValueError(f"Unknown camera type: {camera_type}")
+    
+    # Calculate basis vectors
+    forward = np.array(camera_target) - np.array(camera_position)
+    forward = forward / np.linalg.norm(forward)
+    
+    right = np.cross(forward, np.array(camera_up))
+    if np.linalg.norm(right) < 1e-6:
+        # Fallback if forward is parallel to up
+        right = np.cross(forward, [1, 0, 0])
+    right = right / np.linalg.norm(right)
+    
+    up = np.cross(right, forward)
+    
+    # Build the camera JSON
+    camera_json = {
+        "camera_type": "perspective",
+        "fx": 1.0,
+        "fy": 1.0,
+        "cx": 0.5,
+        "cy": 0.5,
+        "width": 1920,
+        "height": 1080,
+        "position": camera_position,
+        "rotation": [right.tolist(), up.tolist(), (-forward).tolist()],
+        "fy_scale": 1.0
+    }
+    
+    # Write camera JSON
+    with open(output_path, 'w') as f:
+        json.dump(camera_json, f, indent=2)
+    
+    return camera_json
+
+
+def render_preview(config_path: Path, camera_json_path: Path, output_path: Path, output_name: str):
+    """Render a preview image using ns-render."""
+    cmd = [
+        "ns-render",
+        "--load-config", str(config_path),
+        "--output-path", str(output_path),
+        "--camera-path", str(camera_json_path),
+        "--output-format", "png"
+    ]
+    
+    print(f"Rendering {output_name}: {' '.join(cmd)}")
+    
+    result = subprocess.run(cmd, capture_output=True, text=True)
+    
+    if result.returncode != 0:
+        print(f"Error rendering {output_name}:")
+        print(result.stderr)
+        return False
+    
+    print(f"Saved {output_name} to {output_path}")
+    return True
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Render preview images from Gaussian Splat")
+    parser.add_argument("--splat_ply", type=Path, required=True, 
+                        help="Path to splat.ply file")
+    parser.add_argument("--config", type=Path, required=True,
+                        help="Path to splatfacto config.yml")
+    parser.add_argument("--output_dir", type=Path, required=True,
+                        help="Output directory for preview images")
+    parser.add_argument("--output_top", type=Path, default=None,
+                        help="Output path for top-down preview")
+    parser.add_argument("--output_angle", type=Path, default=None,
+                        help="Output path for angled preview")
+    
+    args = parser.parse_args()
+    
+    # Create output directory
+    args.output_dir.mkdir(parents=True, exist_ok=True)
+    
+    # Compute bounding box from splat.ply
+    print(f"Computing bounding box from {args.splat_ply}")
+    centroid, min_bound, max_bound, extent = compute_splat_bounding_box(args.splat_ply)
+    print(f"Centroid: {centroid}")
+    print(f"Extent: {extent}")
+    
+    # Default output paths
+    output_top = args.output_top or args.output_dir / "preview_top.png"
+    output_angle = args.output_angle or args.output_dir / "preview_angle.png"
+    
+    # Generate camera JSON for top-down view
+    top_camera_json = args.output_dir / "camera_top.json"
+    generate_camera_json('top_down', centroid, extent, top_camera_json)
+    
+    # Generate camera JSON for angled view
+    angle_camera_json = args.output_dir / "camera_angle.json"
+    generate_camera_json('angled', centroid, extent, angle_camera_json)
+    
+    # Render top-down preview
+    print("\nRendering top-down preview...")
+    success_top = render_preview(args.config, top_camera_json, output_top, "top-down")
+    
+    # Render angled preview
+    print("\nRendering angled preview...")
+    success_angle = render_preview(args.config, angle_camera_json, output_angle, "angled")
+    
+    # Summary
+    print("\n" + "=" * 50)
+    if success_top:
+        print(f"✓ Top-down preview: {output_top}")
+    else:
+        print(f"✗ Top-down preview failed")
+        
+    if success_angle:
+        print(f"✓ Angled preview: {output_angle}")
+    else:
+        print(f"✗ Angled preview failed")
+    
+    # Clean up camera JSON files
+    top_camera_json.unlink(missing_ok=True)
+    angle_camera_json.unlink(missing_ok=True)
+    
+    if not success_top and not success_angle:
+        print("\nWarning: Both renders failed. Exiting with error.")
+        sys.exit(1)
+    
+    print("\nPreview rendering complete!")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/run.py b/run.py
index e49d601..74877dd 100644
--- a/run.py
+++ b/run.py
@@ -203,5 +203,16 @@ def run_cmd(cmd: list):
     if exit_code != 0:
         logger.error("failed to convert splat .ply to .splat")
         sys.exit(exit_code)
+
+    # Render preview images (best-effort, don't fail the job if this fails)
+    logger.info("Rendering Preview Images (optional)")
+    exit_code = run_python_script("render_previews.py",
+                                   "--splat_ply", args.job_root_path / "refined/splatter/splat.ply",
+                                   "--config", args.job_root_path / "refined/splatter/splatfacto/config.yml",
+                                   "--output_dir", args.job_root_path / "refined/splatter",
+                                   "--output_top", args.job_root_path / "refined/splatter/preview_top.png",
+                                   "--output_angle", args.job_root_path / "refined/splatter/preview_angle.png")
+    if exit_code != 0:
+        logger.warning("failed to render preview images (non-critical, continuing)")
     
     sys.exit(exit_code)
\ No newline at end of file
diff --git a/server/rust/runner/src/lib.rs b/server/rust/runner/src/lib.rs
index 217ceec..9616673 100644
--- a/server/rust/runner/src/lib.rs
+++ b/server/rust/runner/src/lib.rs
@@ -781,6 +781,60 @@ impl compute_runner_api::Runner for HelloRunner {
                 .await
                 .with_context(|| format!("upload {} as {}", splat_abs.display(), upload_key))?;
 
+            // Upload preview images if they exist
+            let preview_top = job_root.join("refined/splatter/preview_top.png");
+            let preview_angle = job_root.join("refined/splatter/preview_angle.png");
+
+            if preview_top.exists() {
+                let preview_top_key = if let Some(suffix) = refined_suffix.as_deref().filter(|s| !s.is_empty()) {
+                    if suffix.starts_with('_') {
+                        format!("refined_splat_preview_top{suffix}")
+                    } else {
+                        format!("refined_splat_preview_top_{suffix}")
+                    }
+                } else {
+                    "refined_splat_preview_top".to_string()
+                };
+
+                ctx.output
+                    .put_domain_artifact(compute_runner_api::runner::DomainArtifactRequest {
+                        rel_path: preview_top_key.as_str(),
+                        name: preview_top_key.as_str(),
+                        data_type: "splat_preview_top",
+                        existing_id: None,
+                        content: compute_runner_api::runner::DomainArtifactContent::File(&preview_top),
+                    })
+                    .await
+                    .with_context(|| format!("upload preview top {}", preview_top.display()))?;
+                
+                info!(uploaded = %preview_top_key, "preview top uploaded");
+            }
+
+            if preview_angle.exists() {
+                let preview_angle_key = if let Some(suffix) = refined_suffix.as_deref().filter(|s| !s.is_empty()) {
+                    if suffix.starts_with('_') {
+                        format!("refined_splat_preview_angle{suffix}")
+                    } else {
+                        format!("refined_splat_preview_angle_{suffix}")
+                    }
+                } else {
+                    "refined_splat_preview_angle".to_string()
+                };
+
+                ctx.output
+                    .put_domain_artifact(compute_runner_api::runner::DomainArtifactRequest {
+                        rel_path: preview_angle_key.as_str(),
+                        name: preview_angle_key.as_str(),
+                        data_type: "splat_preview_angle",
+                        existing_id: None,
+                        content: compute_runner_api::runner::DomainArtifactContent::File(&preview_angle),
+                    })
+                    .await
+                    .with_context(|| format!("upload preview angle {}", preview_angle.display()))?;
+                
+                info!(uploaded = %preview_angle_key, "preview angle uploaded");
+            }
+
             ctx.ctrl
                 .progress(json!({
                     "pct": 95,