Deep Learning Based Frame Interpolation for Stop-motion Animation

Abstract

This study focuses on deep-learning-based frame interpolation facilitating stop-motion animation production. Through deep learning of the movements of stop-motion animation, frame interpolation works systematically toward its own production. Based on an understanding of the exaggeration or deletion of motions, the proposed frame interpolation technique differs from other linear frame interpolation techniques. This project used the stop motion animation Teenie Scouts BigFive produced by Taktoon Enterprise, a subsidiary of Chung-Ang University Technology Holdings, which was created using 4K UHD high-resolution images at a frame rate of 15 fps.