Video remastering with (DAIN) Depth-Aware video frame INterpolation and Topaz Video Enhance AI | Artificial Intelligence In this oppotunity I'm glad to show here a test of the greatness that can offer the power of Artificial Intelligence. I'm big fan of the developments made by this kind of technology. Next, I will show the test I have made easily in my computer thanks to the knowledge I admire of others engineers.
https://www.youtube.com/watch?v=n7rDNrlBV_8
All the code rights to the developers mentioned below.
@inproceedings{DAIN,
author = {Bao, Wenbo and Lai, Wei-Sheng and Ma, Chao and Zhang, Xiaoyun and Gao, Zhiyong and Yang, Ming-Hsuan},
title = {Depth-Aware Video Frame Interpolation},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
year = {2019}
}
@article{MEMC-Net,
title={MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement},
author={Bao, Wenbo and Lai, Wei-Sheng, and Zhang, Xiaoyun and Gao, Zhiyong and Yang, Ming-Hsuan},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi={10.1109/TPAMI.2019.2941941},
year={2018}
}
Video processing test with a 4GB Nvidia GPU and the DAIN Python App to generate Frames per Second -from 24 FPS to 60 FPS- in a cartoon video, thanks to the Artificial Intelligence (A.I.) development of baowenbo's Depth-Aware video frame INterpolation App (GitHub: https://github.com/baowenbo/DAIN).
Video restauration, enhancement and upscaling -from 720p to Full HD 1080p- of Topaz's Video Enhance A.I. (https://topazlabs.com/video-enhance-ai/).
Artwork by the great artist and friend: Pol Sabbath
IG: instagram.com/pol_sabbath/
Video: https://www.instagram.com/p/CDHnA6hHv9U/
No Rights Reserved.
CPU: Intel(R) Core(TM) i7-4790S CPU @ 3.20GHz - (8 CPUs)
GPU: Nvidia GeForce GTX 970 - 4GB VRAM
RAM: 8 GB
Motherboard: B85M-DS3H
OS: Windows 10 Pro 64 bits