ECCV2022-RIFE VS DeOldify

Check out RIFE.

Using Flowframes with the RIFE model, run 2x interpolation on a folder of video frames.

Personally I have mine set to use RIFE AI via TensorRT for frame interpolation(x2), if the FPS is 30 or less.

Oh now that I saw this comment, I started to investigate frame interpolation techniques using AI and found this: https://github.com/megvii-research/ECCV2022-RIFE

Yes but you need to use a different AI first. There are multiple AI like RIFE (there are apps for it if you don't like code) that will smooth out your animation. Then you can use those frames with Novel AI to get a more organic look in the end.

To have more smooth effect you can reduce frame per second and add FILM or RIFE between frames.

Interpolated with https://github.com/megvii-research/ECCV2022-RIFE

Sure! This would be my approach (and tools) if I was smarter:

If you make the generations with some similarities and use the right interpolation, you don't need 1000 images like my video and can obtain a smooth movement.

First, generate images with some kind of visual anchor (background, an object). You can use frames generated using the previous frame as reference image, or the same seed but different prompt/parameters, or you can go wild using img2img/inpainting (btw I struggle to find an inpainting tool for Stable Diffusion: they seem to be just img2img with a mask, without contest).

Then pass the generated images to one of the most recent interpolation algorithms, like this one https://github.com/megvii-research/ECCV2022-RIFE or the one used in the replicate we are commenting on (someone posted this reference: https://github.com/google-research/frame-interpolation )

The first link reports some free and paid implementation and a Colab, so depending on how deep you want to go, you have a lot of choices.

In the end, I'd use some good app to stabilize the image if needed, to get a more "calm" look. I use Luma Fusion, but it's a paid app (cheap, one-time payment, for iOS). I'm sure there are a ton of open-source implementations.

It's an approach similar to the animation on replicate, but it allows a lot of fine-tuning and you can add new animation ideas/tools to the process.

Nothing revolutionary, but I hope it helps!

> You have generated some pretty cool designs.

Thanks! I put in a lot of work in the last weeks. The project has a mission, I wrote something, but it's not ready yet. I believe it will be with the launch of Dall-E 8 :-/

You'd probably get way better results by using something like RIFE to do interpolation and recreate missing frames, instead of minterpolate. I understand though that it's more effort as you'll need to install and setup RIFE.

The old method is simple. All you need to do is running DeOldify with a colab notebook. Then you can pick any neural networks you want for upscale and frame interpolation. A lot of people use dain-app, but I find rife faster and easier to use.

Today, we’re talking to a very special “Software Guy, currently digging deep into GANs” — The author of DeOldify: Jason Antic.

I think the novel and interesting tech is still happening, its just that without the colorful ads for it on TV, and without the software being packaged up and sold with pretty box art that you can physically hold, it doesn't feel as much like a capital-E Experience. It's probably the Internet's fault that we don't do things like that anymore, but the upside is that we now have access to so many ideas and applications from all over, even ones that aren't commercially viable.

Some that look exciting to me are: an AI that lets you animate still photos realistically [1], a simple website that guides you to discover new parks, eateries, and other places near you [2], an AI that colorizes old black-and-white photos/video [3], a Street View style map of the game world from "The Legend of Zelda: Breath of the Wild", with some 1st person 360 degree photos [4], and a tiny game engine that lets you distribute your whole game physically via printed QR codes [5].

If marketing and graphic design people ever felt like getting together to do some 'side projects', I vote that they should make print ads for apps/websites that they like :)

[1] https://github.com/AliaksandrSiarohin/first-order-model

[2] https://randomlocation.xyz (https://randomlocation.xyz/help.txt for customization)

[3] https://github.com/jantic/DeOldify

[4] https://nassimsoftware.github.io/zeldabotwstreetview/

[5] https://github.com/kesiev/rewtro