diff --git a/tools/mo/openvino/tools/mo/front/onnx/max_unpool2d_decomposition.py b/tools/mo/openvino/tools/mo/front/onnx/max_unpool2d_decomposition.py
new file mode 100644
index 00000000000000..f94bc1dd0d7145
--- /dev/null
+++ b/tools/mo/openvino/tools/mo/front/onnx/max_unpool2d_decomposition.py
@@ -0,0 +1,71 @@
+# Copyright (C) 2018-2022 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import numpy as np
+
+from openvino.tools.mo.front.common.replacement import FrontReplacementSubgraph
+from openvino.tools.mo.graph.graph import Graph
+from openvino.tools.mo.ops.scatter import ScatterElementsUpdate
+from openvino.tools.mo.ops.const import Const
+from openvino.tools.mo.ops.elementwise import Mul
+from openvino.tools.mo.ops.reshape import Reshape
+from openvino.tools.mo.ops.shape import Shape
+
+
+class MaxUnpoolFrontReplacer(FrontReplacementSubgraph):
+    enabled = True
+
+    def pattern(self):
+        return dict(
+            nodes=[
+                ("max_pool0", dict(op="MaxPool")),
+                ("max_pool1", dict(op="MaxPool")),
+                ("slice", dict(op="AttributedSlice")),
+                ("sub", dict(op="Sub")),
+                ("unpool", dict(op="max_unpool2d")),
+            ],
+            edges=[
+                ("max_pool1", "slice"),
+                ("max_pool0", "sub", {"in": 0}),
+                ("slice", "sub", {"in": 1}),
+                ("sub", "unpool", {"in": 1}),
+            ],
+        )
+
+    @staticmethod
+    def replace_sub_graph(graph: Graph, match: dict):
+        max_pool = match["max_pool0"]
+        node_name = max_pool.soft_get("name", max_pool.id)
+
+        unpool = match["unpool"]
+        unpool_inp = unpool.in_port(0).get_source().node
+
+        max_pool_input = max_pool.in_port(0).get_source().node
+
+        zero_const = Const(graph, {"value": 0.0}).create_node()
+        zero_inp = Mul(graph, {}).create_node([max_pool_input, zero_const])
+
+        shape_1d = Const(graph, {"value": np.array([-1], dtype=np.int64)}).create_node()
+
+        index_new_shape = Reshape(graph, {"special_zero": True}).create_node()
+        index_new_shape.in_port(0).get_connection().set_source(max_pool.out_port(1))
+        index_new_shape.in_port(1).get_connection().set_source(shape_1d.out_port(0))
+
+        out_new_shape = Reshape(graph, {"special_zero": True}).create_node(
+            [unpool_inp, shape_1d]
+        )
+        zero_inp_new_shape = Reshape(graph, {"special_zero": True}).create_node(
+            [zero_inp, shape_1d]
+        )
+
+        shape_node = Const(graph, {"value": 0}).create_node()
+        scatter_node = ScatterElementsUpdate(
+            graph, {"name": node_name + "/ScatterElementsUpdate_"}
+        ).create_node([zero_inp_new_shape, index_new_shape, out_new_shape, shape_node])
+
+        origin_shape = Shape(graph, {"name": "Shape"}).create_node([max_pool_input])
+        out_origin_shape = Reshape(graph, {"special_zero": True}).create_node(
+            [scatter_node, origin_shape]
+        )
+
+        unpool.out_port(0).get_connection().set_source(out_origin_shape.out_port(0))