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Extreme video compression with prediction using pre-trainded diffusion models

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Re: Extreme video compression with prediction using pre-trainded diffusion models

#7
post #6

Extreme compression will be when you put in a movie and get a SORA prompt back that regenerates something close enough to the movie.

I can imagine that in under 5 years, the movie's script plus one example still photo for each scene could do the job.

Re: Extreme video compression with prediction using pre-trainded diffusion models

#8
post #5

> It can be observed that our model outperforms them at low bitrates It can? Maybe I'm misunderstanding the graphs but it doesn't look like it to me?

Graphs (especially PSNR) aren't a good way to judge video compression. It's better to just watch the video.

Many older/commercial video codecs optimized for PSNR, which results in the output being blurry and textureless because that's the best way to minimize rate for the same PSNR.

Re: Extreme video compression with prediction using pre-trainded diffusion models

#10
post #7
post #6

Extreme compression will be when you put in a movie and get a SORA prompt back that regenerates something close enough to the movie.

I can imagine that in under 5 years, the movie's script plus one example still photo for each scene could do the job.

If we get anywhere close to that, coming up with a new economics model is going to be the prompt we'll be giving the AGI when it's ready. We'll need it.
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