diff --git a/netstandard/ClothONNX.Gpu/ClothONNX.Gpu.csproj b/netstandard/ClothONNX.Gpu/ClothONNX.Gpu.csproj
index f0fe4a2..3e26f2e 100644
--- a/netstandard/ClothONNX.Gpu/ClothONNX.Gpu.csproj
+++ b/netstandard/ClothONNX.Gpu/ClothONNX.Gpu.csproj
@@ -4,8 +4,8 @@
     <TargetFramework>netstandard2.0</TargetFramework>
 	  <AssemblyName>ClothONNX.Gpu</AssemblyName>
 	  <LangVersion>8.0</LangVersion>
-	  <Version>1.0.2.1</Version>
-	  <FileVersion>1.0.2.1</FileVersion>
+	  <Version>1.1.0.1</Version>
+	  <FileVersion>1.1.0.1</FileVersion>
 	  <Authors>Valery Asiryan</Authors>
 	  <Company>Valery Asiryan</Company>
 	  <Description>Cloth segmentation library based on deep neural networks and ONNX runtime.</Description>
@@ -13,7 +13,7 @@
 	  <RepositoryType>Open-source</RepositoryType>
 	  <PackageId>ClothONNX.Gpu</PackageId>
 	  <Product>ClothONNX.Gpu</Product>
-	  <AssemblyVersion>1.0.2.1</AssemblyVersion>
+	  <AssemblyVersion>1.1.0.1</AssemblyVersion>
 	  <GeneratePackageOnBuild>true</GeneratePackageOnBuild>
 	  <PackageTags>cloth detection segmentation recognition onnx neural-networks unet</PackageTags>
 	  <RepositoryUrl>https://github.com/FaceONNX/ClothONNX</RepositoryUrl>
diff --git a/netstandard/ClothONNX.Gpu/ClothSegmentator.cs b/netstandard/ClothONNX.Gpu/ClothSegmentator.cs
index 03cf387..c59f532 100644
--- a/netstandard/ClothONNX.Gpu/ClothSegmentator.cs
+++ b/netstandard/ClothONNX.Gpu/ClothSegmentator.cs
@@ -29,47 +29,61 @@ public class ClothSegmentator : IClothSegmentator
 
         /// <summary>
         /// Initializes cloth segmentator.
+        /// <param name="clothSegmentatorQuality">Cloth segmentator quality</param>
         /// </summary>
-        public ClothSegmentator()
+        public ClothSegmentator(ClothSegmentatorQuality clothSegmentatorQuality = ClothSegmentatorQuality.Medium)
         {
+            ClothSegmentatorQuality = clothSegmentatorQuality;
             _session = new InferenceSession(Resources.cloth_segmentation_unet);
         }
 
         /// <summary>
         /// Initializes cloth segmentator.
         /// </summary>
+        /// <param name="clothSegmentatorQuality">Cloth segmentator quality</param>
         /// <param name="options">Session options</param>
-        public ClothSegmentator(SessionOptions options)
+        public ClothSegmentator(SessionOptions options, ClothSegmentatorQuality clothSegmentatorQuality = ClothSegmentatorQuality.Medium)
         {
+            ClothSegmentatorQuality = clothSegmentatorQuality;
             _session = new InferenceSession(Resources.cloth_segmentation_unet, options);
         }
 
         #endregion
 
+        #region Properties
+
+        /// <summary>
+        /// Gets or sets cloth segmentator quality.
+        /// </summary>
+        public ClothSegmentatorQuality ClothSegmentatorQuality { get; set; }
+
+        #endregion
+
         #region Methods
 
         /// <inheritdoc/>
-        public float[,] Forward(Bitmap image)
+        public float[,] Forward(Bitmap image, InterpolationMode interpolationMode = InterpolationMode.Bilinear)
         {
             var rgb = image.ToRGB(false);
-            return Forward(rgb);
+            return Forward(rgb, interpolationMode);
         }
 
         /// <inheritdoc/>
-        public float[,] Forward(float[][,] image)
+        public float[,] Forward(float[][,] image, InterpolationMode interpolationMode = InterpolationMode.Bilinear)
         {
             if (image.Length != 3)
                 throw new ArgumentException("Image must be in BGR terms");
 
             var width = image[0].GetLength(1);
             var height = image[0].GetLength(0);
-            var size = new Size(768, 768);
+            var length = (int)ClothSegmentatorQuality;
+            var size = new Size(length, length);
 
             var resized = new float[3][,];
 
             for (int i = 0; i < image.Length; i++)
             {
-                resized[i] = image[i].ResizePreserved(size.Height, size.Width, 0.0f, InterpolationMode.Bilinear);
+                resized[i] = image[i].ResizePreserved(size.Height, size.Width, 0.0f, interpolationMode);
             }
 
             var dimentions = new int[] { 1, 3, size.Width, size.Height };
@@ -113,7 +127,7 @@ public ClothSegmentator(SessionOptions options)
                 }
             }
 
-            return mask.ResizePreserved(height, width, InterpolationMode.Bilinear);
+            return mask.ResizePreserved(height, width, interpolationMode);
         }
 
         #endregion
diff --git a/netstandard/ClothONNX.Gpu/ClothSegmentatorQuality.cs b/netstandard/ClothONNX.Gpu/ClothSegmentatorQuality.cs
new file mode 100644
index 0000000..1d88de0
--- /dev/null
+++ b/netstandard/ClothONNX.Gpu/ClothSegmentatorQuality.cs
@@ -0,0 +1,21 @@
+namespace ClothONNX
+{
+    /// <summary>
+    /// Defines a cloth segmentator quality.
+    /// </summary>
+    public enum ClothSegmentatorQuality
+    {
+        /// <summary>
+        /// Log quality.
+        /// </summary>
+        Low = 512,
+        /// <summary>
+        /// Medium quality.
+        /// </summary>
+        Medium = 768,
+        /// <summary>
+        /// High quality.
+        /// </summary>
+        High = 1024
+    }
+}
diff --git a/netstandard/ClothONNX.Gpu/IClothSegmentator.cs b/netstandard/ClothONNX.Gpu/IClothSegmentator.cs
index 51e37e4..8eda656 100644
--- a/netstandard/ClothONNX.Gpu/IClothSegmentator.cs
+++ b/netstandard/ClothONNX.Gpu/IClothSegmentator.cs
@@ -1,5 +1,6 @@
 using System;
 using System.Drawing;
+using UMapx.Core;
 
 namespace ObjectONNX
 {
@@ -14,15 +15,17 @@ public interface IClothSegmentator : IDisposable
         /// Returns cloth segmentation results.
         /// </summary>
         /// <param name="image">Bitmap</param>
+        /// <param name="interpolationMode">Interpolation mode</param>
         /// <returns>Result</returns>
-        float[,] Forward(Bitmap image);
+        float[,] Forward(Bitmap image, InterpolationMode interpolationMode = InterpolationMode.Bilinear);
 
         /// <summary>
         /// Returns cloth segmentation results.
         /// </summary>
         /// <param name="image">Image in BGR terms</param>
+        /// <param name="interpolationMode">Interpolation mode</param>
         /// <returns>Result</returns>
-        float[,] Forward(float[][,] image);
+        float[,] Forward(float[][,] image, InterpolationMode interpolationMode = InterpolationMode.Bilinear);
 
         #endregion
     }
diff --git a/netstandard/ClothONNX/ClothONNX.csproj b/netstandard/ClothONNX/ClothONNX.csproj
index a513902..528d72d 100644
--- a/netstandard/ClothONNX/ClothONNX.csproj
+++ b/netstandard/ClothONNX/ClothONNX.csproj
@@ -4,8 +4,8 @@
     <TargetFramework>netstandard2.0</TargetFramework>
 	  <AssemblyName>ClothONNX</AssemblyName>
 	  <LangVersion>8.0</LangVersion>
-	  <Version>1.0.2.1</Version>
-	  <FileVersion>1.0.2.1</FileVersion>
+	  <Version>1.1.0.1</Version>
+	  <FileVersion>1.1.0.1</FileVersion>
 	  <Authors>Valery Asiryan</Authors>
 	  <Company>Valery Asiryan</Company>
 	  <Description>Cloth segmentation library based on deep neural networks and ONNX runtime.</Description>
@@ -13,7 +13,7 @@
 	  <RepositoryType>Open-source</RepositoryType>
 	  <PackageId>ClothONNX</PackageId>
 	  <Product>ClothONNX</Product>
-	  <AssemblyVersion>1.0.2.1</AssemblyVersion>
+	  <AssemblyVersion>1.1.0.1</AssemblyVersion>
 	  <GeneratePackageOnBuild>true</GeneratePackageOnBuild>
 	  <PackageTags>cloth detection segmentation recognition onnx neural-networks unet</PackageTags>
 	  <RepositoryUrl>https://github.com/FaceONNX/ClothONNX</RepositoryUrl>
diff --git a/netstandard/ClothONNX/ClothSegmentator.cs b/netstandard/ClothONNX/ClothSegmentator.cs
index 03cf387..c59f532 100644
--- a/netstandard/ClothONNX/ClothSegmentator.cs
+++ b/netstandard/ClothONNX/ClothSegmentator.cs
@@ -29,47 +29,61 @@ public class ClothSegmentator : IClothSegmentator
 
         /// <summary>
         /// Initializes cloth segmentator.
+        /// <param name="clothSegmentatorQuality">Cloth segmentator quality</param>
         /// </summary>
-        public ClothSegmentator()
+        public ClothSegmentator(ClothSegmentatorQuality clothSegmentatorQuality = ClothSegmentatorQuality.Medium)
         {
+            ClothSegmentatorQuality = clothSegmentatorQuality;
             _session = new InferenceSession(Resources.cloth_segmentation_unet);
         }
 
         /// <summary>
         /// Initializes cloth segmentator.
         /// </summary>
+        /// <param name="clothSegmentatorQuality">Cloth segmentator quality</param>
         /// <param name="options">Session options</param>
-        public ClothSegmentator(SessionOptions options)
+        public ClothSegmentator(SessionOptions options, ClothSegmentatorQuality clothSegmentatorQuality = ClothSegmentatorQuality.Medium)
         {
+            ClothSegmentatorQuality = clothSegmentatorQuality;
             _session = new InferenceSession(Resources.cloth_segmentation_unet, options);
         }
 
         #endregion
 
+        #region Properties
+
+        /// <summary>
+        /// Gets or sets cloth segmentator quality.
+        /// </summary>
+        public ClothSegmentatorQuality ClothSegmentatorQuality { get; set; }
+
+        #endregion
+
         #region Methods
 
         /// <inheritdoc/>
-        public float[,] Forward(Bitmap image)
+        public float[,] Forward(Bitmap image, InterpolationMode interpolationMode = InterpolationMode.Bilinear)
         {
             var rgb = image.ToRGB(false);
-            return Forward(rgb);
+            return Forward(rgb, interpolationMode);
         }
 
         /// <inheritdoc/>
-        public float[,] Forward(float[][,] image)
+        public float[,] Forward(float[][,] image, InterpolationMode interpolationMode = InterpolationMode.Bilinear)
         {
             if (image.Length != 3)
                 throw new ArgumentException("Image must be in BGR terms");
 
             var width = image[0].GetLength(1);
             var height = image[0].GetLength(0);
-            var size = new Size(768, 768);
+            var length = (int)ClothSegmentatorQuality;
+            var size = new Size(length, length);
 
             var resized = new float[3][,];
 
             for (int i = 0; i < image.Length; i++)
             {
-                resized[i] = image[i].ResizePreserved(size.Height, size.Width, 0.0f, InterpolationMode.Bilinear);
+                resized[i] = image[i].ResizePreserved(size.Height, size.Width, 0.0f, interpolationMode);
             }
 
             var dimentions = new int[] { 1, 3, size.Width, size.Height };
@@ -113,7 +127,7 @@ public ClothSegmentator(SessionOptions options)
                 }
             }
 
-            return mask.ResizePreserved(height, width, InterpolationMode.Bilinear);
+            return mask.ResizePreserved(height, width, interpolationMode);
         }
 
         #endregion
diff --git a/netstandard/ClothONNX/ClothSegmentatorQuality.cs b/netstandard/ClothONNX/ClothSegmentatorQuality.cs
new file mode 100644
index 0000000..1d88de0
--- /dev/null
+++ b/netstandard/ClothONNX/ClothSegmentatorQuality.cs
@@ -0,0 +1,21 @@
+namespace ClothONNX
+{
+    /// <summary>
+    /// Defines a cloth segmentator quality.
+    /// </summary>
+    public enum ClothSegmentatorQuality
+    {
+        /// <summary>
+        /// Log quality.
+        /// </summary>
+        Low = 512,
+        /// <summary>
+        /// Medium quality.
+        /// </summary>
+        Medium = 768,
+        /// <summary>
+        /// High quality.
+        /// </summary>
+        High = 1024
+    }
+}
diff --git a/netstandard/ClothONNX/IClothSegmentator.cs b/netstandard/ClothONNX/IClothSegmentator.cs
index 51e37e4..8eda656 100644
--- a/netstandard/ClothONNX/IClothSegmentator.cs
+++ b/netstandard/ClothONNX/IClothSegmentator.cs
@@ -1,5 +1,6 @@
 using System;
 using System.Drawing;
+using UMapx.Core;
 
 namespace ObjectONNX
 {
@@ -14,15 +15,17 @@ public interface IClothSegmentator : IDisposable
         /// Returns cloth segmentation results.
         /// </summary>
         /// <param name="image">Bitmap</param>
+        /// <param name="interpolationMode">Interpolation mode</param>
         /// <returns>Result</returns>
-        float[,] Forward(Bitmap image);
+        float[,] Forward(Bitmap image, InterpolationMode interpolationMode = InterpolationMode.Bilinear);
 
         /// <summary>
         /// Returns cloth segmentation results.
         /// </summary>
         /// <param name="image">Image in BGR terms</param>
+        /// <param name="interpolationMode">Interpolation mode</param>
         /// <returns>Result</returns>
-        float[,] Forward(float[][,] image);
+        float[,] Forward(float[][,] image, InterpolationMode interpolationMode = InterpolationMode.Bilinear);
 
         #endregion
     }
diff --git a/netstandard/Examples/ClothSegmentation/Form1.cs b/netstandard/Examples/ClothSegmentation/Form1.cs
index 08f60bf..d61948a 100644
--- a/netstandard/Examples/ClothSegmentation/Form1.cs
+++ b/netstandard/Examples/ClothSegmentation/Form1.cs
@@ -1,4 +1,5 @@
 using ClothONNX;
+using UMapx.Core;
 using UMapx.Imaging;
 
 namespace ClothSegmentation
@@ -17,7 +18,7 @@ public Form1()
             AllowDrop = true;
             Text = "ClothONNX: Cloth Segmentation";
 
-            _clothSegmentator = new ClothSegmentator();
+            _clothSegmentator = new ClothSegmentator(ClothSegmentatorQuality.High);
             var image = new Bitmap("example.png");
             Process(image);
         }
@@ -38,9 +39,12 @@ private void Form1_DragDrop(object sender, DragEventArgs e)
 
         private void Process(Bitmap image)
         {
-            var results = _clothSegmentator.Forward(image);
+            var results = _clothSegmentator.Forward(
+                image: image,
+                interpolationMode: InterpolationMode.Bicubic);
+
             using var mask = results.FromGrayscale();
-            var maskColorFilter = new MaskColorFilter(Color.Red);
+            var maskColorFilter = new MaskColorFilter(Color.Yellow);
             maskColorFilter.Apply(image, mask);
 
             BackgroundImage?.Dispose();