Video Frame Interpolation Using Real-Time Intermediate Flow Estimation

RIFE is a breakthrough in real-time video frame interpolation, introducing the IFNet neural network to estimate intermediate flows directly and efficiently. By avoiding the complexities of bidirectional optical flow estimation, RIFE achieves impressive speed and quality improvements, outperforming leading methods like SuperSlomo and DAIN. This research is timely, addressing the increasing demand for high-quality video content and the need to convert low-frame-rate videos into high-frame-rate content for modern displays. RIFE’s privileged distillation scheme and support for arbitrary-timestep frame interpolation make it a promising solution for real-time video enhancement.