[FFmpeg-devel] Regarding GSoC 2020 project proposal

[YATENDRA SINGH]

Hi,
I am a third year CSE student at the Indian Institute of Technology Bhilai,
and would like to contribute to ffmpeg this year. I have
relevant experience with Machine Learning and would like to work on
improving the video frame interpolation already implemented. With such a
plethora of great Machine Learning Algorithms being published every year at
prestigious conferences I would aim to read the relevant academic papers
and implement the best suited technique for the task. For example, Depth
Aware Video Frame Interpolation (DAIN CVPR-2019) is supposedly the state of
the art method on Vimeo90k and MiddleBury
<https://paperswithcode.com/task/video-frame-interpolation> but at the same
time Frame Interpolation with Generative Adversarial Network(FIGAN), uses
not CNN but multi-scale synthesis( MS ) to get higher speeds.
Looking forward to hearing from you soon.

Yatendra SIngh
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative
Adversarial NetworksFrame Interpolation with Multi-Scale Deep Loss
Functions and Generative Adversarial NetworksFrame Interpolation with
Multi-Scale Deep Loss Functions and Generative Adversarial Networks