diff --git a/torch/distributed/tensor/_dispatch.py b/torch/distributed/tensor/_dispatch.py
index faa2a1ba4941..b562153ad507 100644
--- a/torch/distributed/tensor/_dispatch.py
+++ b/torch/distributed/tensor/_dispatch.py
@@ -23,6 +23,7 @@
 )
 from torch.distributed.tensor._utils import try_find_mesh_from_args
 from torch.distributed.tensor.placement_types import Partial, Placement, Replicate
+from torch.utils._python_dispatch import return_and_correct_aliasing
 
 
 try:
@@ -164,7 +165,8 @@ def dispatch(
         assert output_sharding is not None, "output sharding should not be None"
 
         mesh = op_info.compute_mesh
-        if mesh.get_coordinate() is not None:
+        participating = mesh.get_coordinate() is not None
+        if participating:
             # computation that happens in the current rank of the mesh, normal case
             if output_sharding.needs_redistribute:
                 # If sharding propagation decision needs redistribute, perform redistribute
@@ -299,7 +301,11 @@ def default_tensor(spec: DTensorSpec) -> torch.Tensor:
             assert len(out_dts) >= 1, "out variant should have at least one out arg"
             return tuple(out_dts) if len(out_dts) > 1 else out_dts[0]
         else:
-            return self.wrap(local_results, output_sharding.output_spec)  # type: ignore[possibly-undefined]
+            ret = self.wrap(local_results, output_sharding.output_spec)  # type: ignore[possibly-undefined]
+            if participating and op_info.schema.is_view_op():
+                return return_and_correct_aliasing(op_call, args, kwargs, ret)
+            else:
+                return ret
 
     @staticmethod
     def redistribute_local_args(
diff --git a/torch/distributed/tensor/_op_schema.py b/torch/distributed/tensor/_op_schema.py
index b892d8883527..b60373ea6f83 100644
--- a/torch/distributed/tensor/_op_schema.py
+++ b/torch/distributed/tensor/_op_schema.py
@@ -450,6 +450,12 @@ def is_out_variant_op(self) -> bool:
         # be entirely correct, but it's good enough for now.
         return "out" in self.op._schema.overload_name
 
+    def is_view_op(self) -> bool:
+        return any(
+            a.alias_info is not None and not a.alias_info.is_write
+            for a in self.op._schema.arguments
+        )
+
     def __hash__(self) -> int:
         # Only hash args and kwargs that op indicates to hash
         if not self.schema_info: