diff --git a/pytorch3d/renderer/mesh/textures.py b/pytorch3d/renderer/mesh/textures.py
index 2dabbd08..351a142a 100644
--- a/pytorch3d/renderer/mesh/textures.py
+++ b/pytorch3d/renderer/mesh/textures.py
@@ -707,31 +707,43 @@ class TexturesUV(TexturesBase):
         else:
             raise ValueError("Expected verts_uvs to be a tensor or list")
 
-        if isinstance(maps, torch.Tensor):
-            if maps.ndim != 4 or maps.shape[0] != self._N:
-                msg = "Expected maps to be of shape (N, H, W, C); got %r"
-                raise ValueError(msg % repr(maps.shape))
-            self._maps_padded = maps
-            self._maps_list = None
-        elif isinstance(maps, (list, tuple)):
-            if len(maps) != self._N:
-                raise ValueError("Expected one texture map per mesh in the batch.")
+        if isinstance(maps, (list, tuple)):
             self._maps_list = maps
-            if self._N > 0:
-                maps = _pad_texture_maps(maps, align_corners=self.align_corners)
-            else:
-                maps = torch.empty(
-                    (self._N, 0, 0, 3), dtype=torch.float32, device=self.device
-                )
-            self._maps_padded = maps
         else:
-            raise ValueError("Expected maps to be a tensor or list.")
+            self._maps_list = None
+        self._maps_padded = self._format_maps_padded(maps)
 
         if self._maps_padded.device != self.device:
             raise ValueError("maps must be on the same device as verts/faces uvs.")
 
         self.valid = torch.ones((self._N,), dtype=torch.bool, device=self.device)
 
+    def _format_maps_padded(
+        self, maps: Union[torch.Tensor, List[torch.Tensor]]
+    ) -> torch.Tensor:
+        if isinstance(maps, torch.Tensor):
+            if maps.ndim != 4 or maps.shape[0] != self._N:
+                msg = "Expected maps to be of shape (N, H, W, C); got %r"
+                raise ValueError(msg % repr(maps.shape))
+            return maps
+
+        if isinstance(maps, (list, tuple)):
+            if len(maps) != self._N:
+                raise ValueError("Expected one texture map per mesh in the batch.")
+            if self._N > 0:
+                if not all(map.ndim == 3 for map in maps):
+                    raise ValueError("Invalid number of dimensions in texture maps")
+                if not all(map.shape[2] == maps[0].shape[2] for map in maps):
+                    raise ValueError("Inconsistent number of channels in maps")
+                maps_padded = _pad_texture_maps(maps, align_corners=self.align_corners)
+            else:
+                maps_padded = torch.empty(
+                    (self._N, 0, 0, 3), dtype=torch.float32, device=self.device
+                )
+            return maps_padded
+
+        raise ValueError("Expected maps to be a tensor or list of tensors.")
+
     def clone(self) -> "TexturesUV":
         tex = self.__class__(
             self.maps_padded().clone(),