diff --git a/src/anomalib/deploy/inferencers/openvino_inferencer.py b/src/anomalib/deploy/inferencers/openvino_inferencer.py
index 3e8f18540e..3206b39e30 100644
--- a/src/anomalib/deploy/inferencers/openvino_inferencer.py
+++ b/src/anomalib/deploy/inferencers/openvino_inferencer.py
@@ -201,7 +201,7 @@ def predict(
 
         # Resize image to model input size if not dynamic
         if self.input_blob.partial_shape[2].is_static and self.input_blob.partial_shape[3].is_static:
-            image = cv2.resize(image, tuple(self.input_blob.shape[2:][::-1]))
+            image = cv2.resize(image, tuple(list(self.input_blob.shape)[2:][::-1]))
 
         # Normalize numpy array to range [0, 1]
         if image.dtype != np.float32:
diff --git a/src/anomalib/models/image/reverse_distillation/anomaly_map.py b/src/anomalib/models/image/reverse_distillation/anomaly_map.py
index 4d4edffdf3..94e591cdfe 100644
--- a/src/anomalib/models/image/reverse_distillation/anomaly_map.py
+++ b/src/anomalib/models/image/reverse_distillation/anomaly_map.py
@@ -13,11 +13,12 @@
 from enum import Enum
 
 import torch
-from kornia.filters import gaussian_blur2d
 from omegaconf import ListConfig
 from torch import nn
 from torch.nn import functional as F  # noqa: N812
 
+from anomalib.models.components import GaussianBlur2d
+
 
 class AnomalyMapGenerationMode(str, Enum):
     """Type of mode when generating anomaly imape."""
@@ -87,8 +88,9 @@ def forward(self, student_features: list[torch.Tensor], teacher_features: list[t
             elif self.mode == AnomalyMapGenerationMode.ADD:
                 anomaly_map += distance_map
 
-        return gaussian_blur2d(
-            anomaly_map,
+        gaussian_blur = GaussianBlur2d(
             kernel_size=(self.kernel_size, self.kernel_size),
             sigma=(self.sigma, self.sigma),
-        )
+        ).to(student_features[0].device)
+
+        return gaussian_blur(anomaly_map)
diff --git a/tests/integration/model/test_models.py b/tests/integration/model/test_models.py
index e49cc11e6b..ec58d29dfa 100644
--- a/tests/integration/model/test_models.py
+++ b/tests/integration/model/test_models.py
@@ -143,10 +143,10 @@ def test_export(
             dataset_path (Path): Root to dataset from fixture.
             project_path (Path): Path to temporary project folder from fixture.
         """
-        if model_name in ("reverse_distillation", "rkde"):
+        if model_name == "rkde":
             # TODO(ashwinvaidya17): Restore this test after fixing the issue
             # https://github.com/openvinotoolkit/anomalib/issues/1513
-            pytest.skip(f"{model_name} fails to convert to ONNX and OpenVINO")
+            pytest.skip(f"{model_name} fails to convert to OpenVINO")
 
         model, dataset, engine = self._get_objects(
             model_name=model_name,