Repruducing EMA in Tensorflow

Introduction

This is a tensorflow implementation of the 'Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation'

Running the code

train

'python3 -m vfi.src.train'

evaluation

'python3 -m vfi.src.eval'

Training data

EMA is trained on a proprietary dataset with one million internet video clips, each comprising 3 frames.

• We use the publcicly available Vimeo-90k dataset (Xue et al., 2019), which is commonly used dataset for video frame interpolation