DAIN VS frame-interpolation

Here is the last one I played with, but click the link above as there are newer models: https://github.com/baowenbo/DAIN

Not OP and unsure it would work well in this case, but I usually reach for DAIN to do a few frames of interpolation - https://github.com/baowenbo/DAIN

You may want to look in to DAIN https://sites.google.com/view/wenbobao/dain

Not sure if my eyes are playing tricks on me or if the video is slightly choppy. Maybe trying running it through DAIN to make it buttery smooth: https://github.com/baowenbo/DAIN

Nah this one is actually machine learning. There's plenty of machine learning interpolation networks out there. DAIN is just one of them. https://github.com/baowenbo/DAIN

This is DAIN https://github.com/baowenbo/DAIN

You could try an AI like DAIN but I shudder to think how much VRAM you'd need to handle 12k footage, you'd probably need something like an RTX A6000, and even then I doubt that would be enough...

If you've got suitable hardware, you could run the clips through DAIN or a similar AI interpolation suite to double the framerate - that'll get better results than Optical Flow.

This exists, it's called DAIN. There are apps you can download which processes GIFs into 30fps, 60fps, etc. https://github.com/baowenbo/DAIN

- Lastly I used FILM, an image interpolation library to interpolate between images

1) generate video using https://github.com/camenduru/animatediff 2) upscale using SD-CN https://github.com/volotat/SD-CN-Animation 3) interpolate frames using https://github.com/google-research/frame-interpolation 4) add audio using https://huggingface.co/spaces/suno/bark

I am aware of interpolation as well (https://github.com/google-research/frame-interpolation) where you give it two images and it generates the images in between to get there but not sure I have good enough images to attempt to use this yet.

Super neat though. With some interpolation (possibly this Google Research one I just found via ChatGPT), it wouldn't be too bad to dump a video in and have it process in the background.

FILM repo by Google Research, they made this very cool interpolation method, my favourite so far. It's a pain to set up, didn't manage to run it on my local machine, I'm not very smart, and I can't get "pip install tensorflow==2.6.2" to run on my Windows, so can't run the requirements, so can't run the script.. BUTTTT you can use colab here, and once you hook it up to your GDrive, you can change the path to your folder of images, and it will process and spit out the interpolated video for you. I only have free tier, and it took 16 minutes for the sample video.

FILM (Frame Interpolation for Large Motion)

Edit: used this for the interpolation. Flow wasn't the correct word. https://github.com/google-research/frame-interpolation

Also off-topic, but their github.io page has a bibtex snippet for anyone wanting to cite their work in their papers. I'm not an academic, but I still strangely appreciate the gesture.

FILM? https://film-net.github.io/