Frame Interpolation is a technique that generates new intermediate frames between existing frames in a video sequence, effectively increasing the frame rate and creating smoother motion. AI-powered frame interpolation analyzes the motion and content of adjacent frames to synthesize plausible in-between frames that maintain visual continuity and motion coherence.

The process is commonly used to convert video from lower frame rates to higher frame rates, such as converting 24 FPS cinematic footage to 60 FPS for smoother playback, or creating slow-motion effects from standard frame rate footage by generating additional frames to stretch time. Modern AI interpolation models have become sophisticated enough to handle complex motion, occlusion, and scene changes, producing results that are far superior to older techniques that simply blended adjacent frames. However, interpolation artifacts can still occur with very fast motion, complex foreground-background interactions, or scenes with significant changes between frames.

In AI video generation workflows, frame interpolation is used both as a post-processing technique to smooth generated footage and as an integrated component within some generation models that build video through iterative frame synthesis. Understanding frame interpolation helps creators achieve smoother motion in their outputs and make informed decisions about when to apply it versus when to generate at the target frame rate natively.