Random background flag added

arguments/__init__.py

@@ -86,6 +86,7 @@ class OptimizationParams(ParamGroup):
         self.densify_from_iter = 500
         self.densify_until_iter = 15_000
         self.densify_grad_threshold = 0.0002
+        self.random_background = False
         super().__init__(parser, "Optimization Parameters")
 
 def get_combined_args(parser : ArgumentParser):

train.py

@@ -80,7 +80,10 @@ def training(dataset, opt, pipe, testing_iterations, saving_iterations, checkpoi
         # Render
         if (iteration - 1) == debug_from:
             pipe.debug = True
-        render_pkg = render(viewpoint_cam, gaussians, pipe, background)
+
+        bg = torch.rand((3), device="cuda") if opt.random_background else background
+
+        render_pkg = render(viewpoint_cam, gaussians, pipe, bg)
         image, viewspace_point_tensor, visibility_filter, radii = render_pkg["render"], render_pkg["viewspace_points"], render_pkg["visibility_filter"], render_pkg["radii"]
 
         # Loss