diff --git a/current.txt b/current.txt
index eea373c..29cd5ae 100644
--- a/current.txt
+++ b/current.txt
@@ -636,7 +636,7 @@
 6e904be0ddca5ae1de8eba020e6c38ed935ea7d80cd08f47787f137a0ca58555 android.hardware.neuralnetworks@1.3::IFencedExecutionCallback
 2b0b10d2ea7a18a4048cd0eb83d35c19a817aeee95f65807fc31f4ef21381397 android.hardware.neuralnetworks@1.3::IPreparedModel
 eee3430cc86c97c7b407495863d8fb61da6f1a64b7721e77b9b4909b11b174e9 android.hardware.neuralnetworks@1.3::IPreparedModelCallback
-dd39887aa4fb60ce60ea9cc043edeadbbae6e922d09d3946311b0b410024ae14 android.hardware.neuralnetworks@1.3::types
+c9320b04ec302624985180a02d591bea5e435601fc411a6cabb58878e4e1ad68 android.hardware.neuralnetworks@1.3::types
 3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi
 a64467bae843569f0d465c5be7f0c7a5b987985b55a3ef4794dd5afc68538650 android.hardware.wifi.supplicant@1.3::ISupplicant
 44445b8a03d7b9e68b2fbd954672c18a8fce9e32851b0692f4f4ab3407f86ecb android.hardware.wifi.supplicant@1.3::ISupplicantStaIface
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;