IFNet

2000년 도입 · 논문 6편에서 사용

IFNet is an architecture for video frame interpolation that adopts a coarse-to-fine strategy with progressively increased resolutions: it iteratively updates intermediate flows and soft fusion mask via successive IFBlocks. Conceptually, according to the iteratively updated flow fields, we can move corresponding pixels from two input frames to the same location in a latent intermediate frame and use a fusion mask to combine pixels from two input frames. Unlike most previous optical flow models, IFBlocks do not contain expensive operators like cost volume or forward warping and use 3 × 3 convolution and deconvolution as building blocks.

출처: RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

소개 논문: RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation