video frame interpolation

We show that input-aware parameter adaptation via meta-learning can greatly improve state-of-the-art video frame interpolation models.

Prevailing video frame interpolation techniques rely heavily on optical flow estimation and require additional model complexity and computational cost; it is also susceptible to error propagation in challenging scenarios with large motion and heavy …