diff --git a/pytorch3d/renderer/mesh/textures.py b/pytorch3d/renderer/mesh/textures.py
index 9af8611e..d3345296 100644
--- a/pytorch3d/renderer/mesh/textures.py
+++ b/pytorch3d/renderer/mesh/textures.py
@@ -140,10 +140,6 @@ def _pad_texture_maps(
 # we can allow the input textures to be any texture
 # type which is an instance of the base class.
 class TexturesBase:
-    def __init__(self):
-        self._N = 0
-        self.valid = None
-
     def isempty(self):
         if self._N is not None and self.valid is not None:
             return self._N == 0 or self.valid.eq(False).all()
@@ -159,6 +155,7 @@ class TexturesBase:
                 setattr(self, k, v)
             if torch.is_tensor(v) and v.device != device:
                 setattr(self, k, v.to(device))
+        self.device = device
         return self
 
     def _extend(self, N: int, props: List[str]) -> Dict[str, Union[torch.Tensor, List]]:
@@ -634,7 +631,6 @@ class TexturesUV(TexturesBase):
         [0.0005, 0.9995] or if the second is outside the interval
         [0.005, 0.995].
         """
-        super().__init__()
         self.padding_mode = padding_mode
         self.align_corners = align_corners
         if isinstance(faces_uvs, (list, tuple)):
diff --git a/pytorch3d/structures/meshes.py b/pytorch3d/structures/meshes.py
index 9a6527d0..445264c0 100644
--- a/pytorch3d/structures/meshes.py
+++ b/pytorch3d/structures/meshes.py
@@ -1197,7 +1197,7 @@ class Meshes(object):
                 if torch.is_tensor(v):
                     setattr(other, k, v.to(device))
             if self.textures is not None:
-                other.textures = self.textures.to(device)
+                other.textures = other.textures.to(device)
         return other
 
     def cpu(self):
diff --git a/tests/test_texturing.py b/tests/test_texturing.py
index d477f713..a9043881 100644
--- a/tests/test_texturing.py
+++ b/tests/test_texturing.py
@@ -793,9 +793,29 @@ class TestTexturesUV(TestCaseMixin, unittest.TestCase):
         )
         device = torch.device("cuda:0")
         tex = tex.to(device)
-        self.assertTrue(tex._faces_uvs_padded.device == device)
-        self.assertTrue(tex._verts_uvs_padded.device == device)
-        self.assertTrue(tex._maps_padded.device == device)
+        self.assertEqual(tex._faces_uvs_padded.device, device)
+        self.assertEqual(tex._verts_uvs_padded.device, device)
+        self.assertEqual(tex._maps_padded.device, device)
+
+    def test_mesh_to(self):
+        tex_cpu = TexturesUV(
+            maps=torch.ones((5, 16, 16, 3)),
+            faces_uvs=torch.randint(size=(5, 10, 3), high=15),
+            verts_uvs=torch.rand(size=(5, 15, 2)),
+        )
+        verts = torch.rand(size=(5, 15, 3))
+        faces = torch.randint(size=(5, 10, 3), high=15)
+        mesh_cpu = Meshes(faces=faces, verts=verts, textures=tex_cpu)
+        cpu = torch.device("cpu")
+        device = torch.device("cuda:0")
+        tex = mesh_cpu.to(device).textures
+        self.assertEqual(tex._faces_uvs_padded.device, device)
+        self.assertEqual(tex._verts_uvs_padded.device, device)
+        self.assertEqual(tex._maps_padded.device, device)
+        self.assertEqual(tex_cpu._verts_uvs_padded.device, cpu)
+
+        self.assertEqual(tex_cpu.device, cpu)
+        self.assertEqual(tex.device, device)
 
     def test_getitem(self):
         N = 5