图形学领域研究对二维或三维图像的表示、处理、呈现等。在人工智能算法运用到图形学之前，图形学领域的研究主要是通过对研究对象的特性、几何结构等进行分析。图像所蕴含的信息量是非常巨大的，即便随着集成电路的出现，计算机的性能有了极大的提升，也很难快速的处理大量的图像信息获取所需要的内容。如何合理存储图像信息，快速分析图像内容一直是图形学领域的攻坚方向。随着人工智能技术在近十几年的快速发展，尤其是Hinton根据受限玻尔兹曼机提出深度学习的方法后，图形学领域取得了重大的发展。这也使得图形学领域的很多成果开始步入我们的日常生活之中，例如图像搜索，虚拟现实，人脸识别，指纹识别等。本篇论文主要阐述的是人工智能技术在图形学领域的最新应用以及未来发展的趋势。

In the field of graphics, the representation, processing and rendering of two-dimensional or three-dimensional images are studied. Before AI is applied to it, the research in graphics is mainly based on the analysis of the object's characteristics and geometry structure. The amount of information contained in the image is very huge. Even with the appearance of the integrated circuit, the performance of the computer has been greatly improved, but it is difficult to quickly find the needed content from a large number of input image. How to store image information reasonably and analyze image content rapidly is always the key area in computer graphics. With the rapid development of artificial intelligence (AI) in the past decade, computer graphics has made great progress. This also makes many achievements in the field of computer graphics into our daily life, such as image search, virtual reality, face recognition, fingerprint recognition and so on. This paper mainly study on the latest application and future development trend of AI technology in the field of computer graphics.