diff --git a/pytorch3d/renderer/mesh/rasterizer.py b/pytorch3d/renderer/mesh/rasterizer.py
index bd73f16d..f5c249b3 100644
--- a/pytorch3d/renderer/mesh/rasterizer.py
+++ b/pytorch3d/renderer/mesh/rasterizer.py
@@ -110,7 +110,8 @@ class MeshRasterizer(nn.Module):
 
     def to(self, device):
         # Manually move to device cameras as it is not a subclass of nn.Module
-        self.cameras = self.cameras.to(device)
+        if self.cameras is not None:
+            self.cameras = self.cameras.to(device)
         return self
 
     def transform(self, meshes_world, **kwargs) -> torch.Tensor:
diff --git a/pytorch3d/renderer/points/rasterizer.py b/pytorch3d/renderer/points/rasterizer.py
index cd1cacfc..73233ac7 100644
--- a/pytorch3d/renderer/points/rasterizer.py
+++ b/pytorch3d/renderer/points/rasterizer.py
@@ -115,7 +115,8 @@ class PointsRasterizer(nn.Module):
 
     def to(self, device):
         # Manually move to device cameras as it is not a subclass of nn.Module
-        self.cameras = self.cameras.to(device)
+        if self.cameras is not None:
+            self.cameras = self.cameras.to(device)
         return self
 
     def forward(self, point_clouds, **kwargs) -> PointFragments:
diff --git a/tests/test_rasterizer.py b/tests/test_rasterizer.py
index 82e12a97..a1f99365 100644
--- a/tests/test_rasterizer.py
+++ b/tests/test_rasterizer.py
@@ -134,6 +134,12 @@ class TestMeshRasterizer(unittest.TestCase):
 
         self.assertTrue(torch.allclose(image, image_ref))
 
+    def test_simple_to(self):
+        # Check that to() works without a cameras object.
+        device = torch.device("cuda:0")
+        rasterizer = MeshRasterizer()
+        rasterizer.to(device)
+
 
 class TestPointRasterizer(unittest.TestCase):
     def test_simple_sphere(self):
@@ -203,3 +209,9 @@ class TestPointRasterizer(unittest.TestCase):
             image[image >= 0] = 1.0
             image[image < 0] = 0.0
             self.assertTrue(torch.allclose(image, image_ref[..., 0]))
+
+    def test_simple_to(self):
+        # Check that to() works without a cameras object.
+        device = torch.device("cuda:0")
+        rasterizer = PointsRasterizer()
+        rasterizer.to(device)