diff --git a/nerfstudio/models/instant_ngp.py b/nerfstudio/models/instant_ngp.py
index 1b0304d5b..2503e7e22 100644
--- a/nerfstudio/models/instant_ngp.py
+++ b/nerfstudio/models/instant_ngp.py
@@ -223,7 +223,7 @@ class NGPModel(Model):
         return metrics_dict
 
     def get_loss_dict(self, outputs, batch, metrics_dict=None):
-        image = batch["image"][..., :3].to(self.device)
+        image = batch["image"].to(self.device)
         pred_rgb, image = self.renderer_rgb.blend_background_for_loss_computation(
             pred_image=outputs["rgb"],
             pred_accumulation=outputs["accumulation"],
diff --git a/nerfstudio/models/tensorf.py b/nerfstudio/models/tensorf.py
index d19b0e2fb..6c149b4b6 100644
--- a/nerfstudio/models/tensorf.py
+++ b/nerfstudio/models/tensorf.py
@@ -308,7 +308,7 @@ class TensoRFModel(Model):
     def get_loss_dict(self, outputs, batch, metrics_dict=None) -> Dict[str, torch.Tensor]:
         # Scaling metrics by coefficients to create the losses.
         device = outputs["rgb"].device
-        image = batch["image"][..., :3].to(device)
+        image = batch["image"].to(device)
         pred_image, image = self.renderer_rgb.blend_background_for_loss_computation(
             pred_image=outputs["rgb"],
             pred_accumulation=outputs["accumulation"],