Frame interpolation is a technique used in video processing to create new frames between existing ones. By analyzing the motion and changes in the original frames, algorithms can generate intermediate frames that make the video appear smoother. This is particularly useful in enhancing the quality of slow-motion videos or improving the frame rate of animations. The process often involves using methods like optical flow to estimate how objects move between frames. Machine learning techniques are also increasingly applied to improve the accuracy and realism of the generated frames, making the final output more visually appealing and fluid.