繪畫作品的藝術風格包含畫像的色彩、紋理、筆觸等等，往往很難準確定義?；谏疃葘W習的畫像風格遷移讓機器自行學習藝術家的作品，使得最終輸出的合成圖像呈現出與藝術家作品一致的風格。本演示可以把藝術家的風格遷移到攝像頭捕捉的圖像中，讓平淡的圖像呈現出不一樣的藝術氣息。

（The artistic style of a painting, which includes colors, textures, strokes, etc., is often difficult to define accurately. Deep learning-based portrait style transfer allows the machine to learn the artist's work by itself, so that the final output composite image presents a consistent style with the artist's work. This demo can transfer the artist's style to the image captured by the camera, so that the dull image presents a different artistic atmosphere.）