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