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 _______________________________________________ ffmpeg-devel mailing list ffmpeg-devel@ffmpeg.org https://ffmpeg.org/mailman/listinfo/ffmpeg-devel To unsubscribe, visit link above, or email ffmpeg-devel-requ...@ffmpeg.org with subject "unsubscribe".
