Phasenet For Video Frame Interpolation

Most approaches for

[ECCV 2024 Oral] Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame Interpolation

Authors: Jin, Xin*; Wu, Longhai; Guotao, Shen; Youxin, Chen; Chen, Jie; Koo, Jayoon; Hahm, Cheul-Hee Description: We propose ...

This is a project for the course of Neural Networks for Data Science Applications. It is based on the paper

The paper "

Comparison of

Slow

Cross-

S. Meyer, O. Wang, H. Zimmer, M. Grosse, A. Sorkine-Hornung: Phase-Based

To overcome the limitations of traditional

Authors: Niklaus, Simon*; Hu, Ping; Chen, Jiawen Description:

Authors: Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee Description:

Authors: Simon Niklaus, Feng Liu Description: Differentiable image sampling in the form of backward warping has seen broad ...

Authors: Wang Shen, Wenbo Bao, Guangtao Zhai, Li Chen, Xiongkuo Min, Zhiyong Gao Description: Existing works reduce ...

AMT is a lightweight, fast, and accurate algorithm for

Simon Niklaus; Long Mai; Feng Liu

Paper: ...

Authors: Tarun Kalluri (UC San Diego)*; Deepak Pathak (Carnegie Mellon University); Manmohan Chandraker (UC San Diego); ...

Video frame interpolation

This is a test