Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation

CVPR 2018 Huaizu JiangDeqing SunVarun JampaniMing-Hsuan YangErik Learned-MillerJan Kautz

Given two consecutive frames, video interpolation aims at generating intermediate frame(s) to form both spatially and temporally coherent video sequences. While most existing methods focus on single-frame interpolation, we propose an end-to-end convolutional neural network for variable-length multi-frame video interpolation, where the motion interpretation and occlusion reasoning are jointly modeled... (read more)

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