Current AI and models give acceptable results in most cases (in others the are horrible), but it is exaggeratedly slow. I have a GTX 1080 Ti and interpolating a 5 minute 30fps video usually takes a long time.
I use other video interpolation programs, which use other AIs and models, for example I use one that uses RIFE, in which I use NCNN’s RIFE4.0 model (a RIFE implementation for Vulkan) and in less than 5 minutes it does the interpolation.
I’m not sure if VEAI and the other Topaz programs run on Pytorch, if not it should. Pytorch is very effective and fast in video post processing, so if it were implemented in VEAI the processing times would be much faster and more effective.
What do you think?
PS: Oh, and the audio of the video should not be lost. I don’t understand why when interpolating a video the audio disappears, it’s quite annoying and that’s why I have to use other programs to interpolate videos with sound.