Author delves into the enhancement of visual quality in 2D animation through the application of artificial intelligence methods. They concentrate on refining the transitional frames within animations, utilizing advanced computational techniques such as neural networks and convolutional neural networks. By focusing on improving the perceptual quality of inbetween frames, the research aims to elevate the overall viewing experience of 2D animations. The utilization of AI in the realm of image processing and computer vision plays a pivotal role in this endeavor, paving the way for advancements in the field of animation technology.