diff --git a/samples/SampleProcessor.py b/samples/SampleProcessor.py
index 9e5a0b3..b9b96fc 100644
--- a/samples/SampleProcessor.py
+++ b/samples/SampleProcessor.py
@@ -167,9 +167,9 @@ class SampleProcessor(object):
                 if is_face_sample and target_face_type != -1:
                     if target_face_type > sample.face_type:
                         raise Exception ('sample %s type %s does not match model requirement %s. Consider extract necessary type of faces.' % (sample.filename, sample.face_type, target_face_type) )
-                    img = cv2.warpAffine( img, LandmarksProcessor.get_transform_mat (sample.landmarks, size, target_face_type), (size,size), flags=cv2.INTER_LANCZOS4 )
+                    img = cv2.warpAffine( img, LandmarksProcessor.get_transform_mat (sample.landmarks, size, target_face_type), (size,size), flags=cv2.INTER_CUBIC )
                 else:
-                    img = cv2.resize( img, (size,size), cv2.INTER_LANCZOS4 )
+                    img = cv2.resize( img, (size,size), cv2.INTER_CUBIC )
                     
                 if random_sub_size != 0:
                     sub_size = size - random_sub_size                
diff --git a/utils/image_utils.py b/utils/image_utils.py
index 877d176..21f9250 100644
--- a/utils/image_utils.py
+++ b/utils/image_utils.py
@@ -262,9 +262,9 @@ def gen_warp_params (source, flip, rotation_range=[-10,10], scale_range=[-0.5, 0
     
 def warp_by_params (params, img, warp, transform, flip, is_border_replicate):
     if warp:
-        img = cv2.remap(img, params['mapx'], params['mapy'], cv2.INTER_LANCZOS4 )
+        img = cv2.remap(img, params['mapx'], params['mapy'], cv2.INTER_CUBIC )
     if transform:
-        img = cv2.warpAffine( img, params['rmat'], (params['w'], params['w']), borderMode=(cv2.BORDER_REPLICATE if is_border_replicate else cv2.BORDER_CONSTANT), flags=cv2.INTER_LANCZOS4 )            
+        img = cv2.warpAffine( img, params['rmat'], (params['w'], params['w']), borderMode=(cv2.BORDER_REPLICATE if is_border_replicate else cv2.BORDER_CONSTANT), flags=cv2.INTER_CUBIC )            
     if flip and params['flip']:
         img = img[:,::-1,:]
     return img