diff --git a/neuralnetworks/1.3/types.hal b/neuralnetworks/1.3/types.hal
index 08d8e6b..daaf22e 100644
--- a/neuralnetworks/1.3/types.hal
+++ b/neuralnetworks/1.3/types.hal
@@ -1584,6 +1584,17 @@
      * * 3: An optional {@link OperandType::BOOL} scalar, default to false.
      *      Set to true to specify NCHW data layout for input0 and output0.
      *      Available since HAL version 1.2.
+     * * 4: Align corners. An optional {@link OperandType::BOOL}
+     *      scalar, default to false.  If True, the centers of the 4 corner
+     *      pixels of the input and output tensors are aligned, preserving the
+     *      values at the corner pixels.
+     *      Available since HAL version 1.3.
+     * * 5: Half pixel centers. An optional {@link OperandType::BOOL}
+     *      scalar, default to false. If True, the pixel centers are assumed to
+     *      be at (0.5, 0.5). This is the default behavior of image.resize in
+     *      TF 2.0. If this parameter is True, then align_corners parameter
+     *      must be False.
+     *      Available since HAL version 1.3.
      *
      * Inputs (resizing by scale, since HAL version 1.2):
      * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
@@ -1602,6 +1613,17 @@
      *      {@link OperandType::FLOAT32} otherwise.
      * * 3: An optional {@link OperandType::BOOL} scalar, default to false.
      *      Set to true to specify NCHW data layout for input0 and output0.
+     * * 4: Align corners. An optional {@link OperandType::BOOL}
+     *      scalar, default to false.  If True, the centers of the 4 corner
+     *      pixels of the input and output tensors are aligned, preserving the
+     *      values at the corner pixels.
+     *      Available since HAL version 1.3.
+     * * 5: Half pixel centers. An optional {@link OperandType::BOOL}
+     *      scalar, default to false. If True, the pixel centers are assumed to
+     *      be at (0.5, 0.5). This is the default behavior of image.resize in
+     *      TF 2.0. If this parameter is True, then align_corners parameter
+     *      must be False.
+     *      Available since HAL version 1.3.
      *
      * Outputs:
      * * 0: The output 4-D tensor, of shape
@@ -4870,6 +4892,17 @@
      *      height of the output tensor.
      * * 3: An {@link OperandType::BOOL} scalar, default to false.
      *      Set to true to specify NCHW data layout for input0 and output0.
+     * * 4: Align corners. An optional {@link OperandType::BOOL}
+     *      scalar, default to false.  If True, the centers of the 4 corner
+     *      pixels of the input and output tensors are aligned, preserving the
+     *      values at the corner pixels.
+     *      Available since HAL version 1.3.
+     * * 5: Half pixel centers. An optional {@link OperandType::BOOL}
+     *      scalar, default to false. If True, the pixel centers are assumed to
+     *      be at (0.5, 0.5). This is the default behavior of image.resize in
+     *      TF 2.0. If this parameter is True, then align_corners parameter
+     *      must be False.
+     *      Available since HAL version 1.3.
      *
      * Inputs (resizing by scale):
      * * 0: A 4-D tensor, of shape [batches, height, width, depth], specifying
@@ -4888,6 +4921,17 @@
      *      {@link OperandType::FLOAT32} otherwise.
      * * 3: An {@link OperandType::BOOL} scalar, default to false.
      *      Set to true to specify NCHW data layout for input0 and output0.
+     * * 4: Align corners. An optional {@link OperandType::BOOL}
+     *      scalar, default to false.  If True, the centers of the 4 corner
+     *      pixels of the input and output tensors are aligned, preserving the
+     *      values at the corner pixels.
+     *      Available since HAL version 1.3.
+     * * 5: Half pixel centers. An optional {@link OperandType::BOOL}
+     *      scalar, default to false. If True, the pixel centers are assumed to
+     *      be at (0.5, 0.5). This is the default behavior of image.resize in
+     *      TF 2.0. If this parameter is True, then align_corners parameter
+     *      must be False.
+     *      Available since HAL version 1.3.
      *
      * Outputs:
      * * 0: The output 4-D tensor, of shape
diff --git a/neuralnetworks/1.3/vts/functional/ValidateModel.cpp b/neuralnetworks/1.3/vts/functional/ValidateModel.cpp
index 8f2d4b7..7da2da9 100644
--- a/neuralnetworks/1.3/vts/functional/ValidateModel.cpp
+++ b/neuralnetworks/1.3/vts/functional/ValidateModel.cpp
@@ -578,6 +578,8 @@
     // - CONV_2D, DEPTHWISE_CONV_2D, MAX_POOL_2D, AVERAGE_POOL_2D, L2_POOL_2D, RESIZE_BILINEAR,
     //   SPACE_TO_DEPTH, SPACE_TO_DEPTH, SPACE_TO_BATCH_ND, BATCH_TO_SPACE_ND can have an optional
     //   layout parameter.
+    //   RESIZE_BILINEAR and RESIZE_NEAREST_NEIGHBOR can have optional
+    //   align_corners and half_pixel_centers parameters.
     // - L2_NORMALIZATION, LOCAL_RESPONSE_NORMALIZATION, SOFTMAX can have an optional axis
     //   parameter.
     switch (op.type) {
@@ -600,7 +602,12 @@
             }
         } break;
         case OperationType::RESIZE_BILINEAR: {
-            if (op.inputs.size() == 4 && input == 3) {
+            if (op.inputs.size() >= 4 && input >= 3) {
+                return true;
+            }
+        } break;
+        case OperationType::RESIZE_NEAREST_NEIGHBOR: {
+            if (op.inputs.size() >= 5 && input >= 3) {
                 return true;
             }
         } break;
@@ -686,7 +693,9 @@
     //   parameter.
     if ((op.type == OperationType::L2_NORMALIZATION && op.inputs.size() == 1) ||
         (op.type == OperationType::LOCAL_RESPONSE_NORMALIZATION && op.inputs.size() == 5) ||
-        (op.type == OperationType::SOFTMAX && op.inputs.size() == 2)) {
+        (op.type == OperationType::SOFTMAX && op.inputs.size() == 2) ||
+        (op.type == OperationType::RESIZE_BILINEAR && op.inputs.size() < 6) ||
+        (op.type == OperationType::RESIZE_NEAREST_NEIGHBOR && op.inputs.size() < 6)) {
         return true;
     }
     return false;