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Visual Results Videos

This page contains visual comparisons between our method and the following:

[2] DAIN - Depth-Aware Video Frame Interpolation Wenbo Bao, Wei-Sheng Lai, Ma Chao, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang. CVPR 2019

[9] Nvidia SloMo - Super SloMo: High Quality Estimation of Multiple Intermediate Framesfor Video Interpolation - Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Learned-Miller Erik, and Kautz Jan. CVPR 2018

[10] Flawless - Learning to Extract Flawless Slow Motion from Blurry Videos - Meiguang Jin, Zhe Hu, and Paolo Favaro. CVPR 2019

Fan

Wheel

Billiard

Diamonds

Hoola Hoop

Cheetah

Fire

Blue Cup

Water

Hair

Running Men

Running Women