Extreme compression will be when you put in a movie and get a SORA prompt back that regenerates something close enough to the movie.
Where’s that quote? Something like “AI is just compression, and compression is indistinguishable from AI”
Extreme video compression with prediction using pre-trainded diffusion models
21–30 of 89 posts
Re: Extreme video compression with prediction using pre-trainded diffusion models
#22Earlier quoted context omitted.
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.
Someone should train a model to evaluate video compression quality
Netflix did VMAF for this: https://github.com/Netflix/vmaf
It checks a reference video against an encoded video and returns a score representing how close the encoded video appears to the original from a human perspective.
Re: Extreme video compression with prediction using pre-trainded diffusion models
#23Extreme compression will be when you put in a movie and get a SORA prompt back that regenerates something close enough to the movie.
Where’s that quote? Something like “AI is just compression, and compression is indistinguishable from AI”
I'm not sure the quote, but you're probably thinking something related to the Hutter Prize:
https://en.m.wikipedia.org/wiki/Hutter_Prize
A lossless compression contest to encourage research in AI. It's lossless, I think just to standardize scoring, but I always thought a lossy version would be better for AI -- our memories are definitely lossy!
Re: Extreme video compression with prediction using pre-trainded diffusion models
#24Re: Extreme video compression with prediction using pre-trainded diffusion models
#25Earlier quoted context omitted.
“Alexa show me Star Wars but with Dustin Hoffman as Luke”.
“I’m sorry Dave. I can’t do that. As an Amazon Large Langauge model, I need you to up your subscription to Amazon Prime first.” “On the other hand, I can generate endless amounts of Harlan Coben miniseries… :-P”
the old style selective copyright infringement.
Re: Extreme video compression with prediction using pre-trainded diffusion models
#26Extreme compression will be when you put in a movie and get a SORA prompt back that regenerates something close enough to the movie.
Where’s that quote? Something like “AI is just compression, and compression is indistinguishable from AI”
Intelligence is compressing information into irreducible representation.
Re: Extreme video compression with prediction using pre-trainded diffusion models
#27Earlier quoted context omitted.
“Alexa show me Star Wars but with Dustin Hoffman as Luke”.
“I’m sorry Dave. I can’t do that. As an Amazon Large Langauge model, I need you to up your subscription to Amazon Prime first.” “On the other hand, I can generate endless amounts of Harlan Coben miniseries… :-P”
"To watch Dustin Hoffman, you need to subscribe to the Classic Stars pack"
Re: Extreme video compression with prediction using pre-trainded diffusion models
#28Extreme compression will be when you put in a movie and get a SORA prompt back that regenerates something close enough to the movie.
“Alexa show me Star Wars but with Dustin Hoffman as Luke”.
I actually would really like this flexibility. "Star Wars, but in Korean with k-pop stars cast", etc.
Re: Extreme video compression with prediction using pre-trainded diffusion models
#29Extreme compression will be when you put in a movie and get a SORA prompt back that regenerates something close enough to the movie.
How big is the SORA model itself?
Re: Extreme video compression with prediction using pre-trainded diffusion models
#30Ahhh, Sloot's digital coding system [1] is finally here ;). [1] https://en.m.wikipedia.org/wiki/Sloot_Digital_Coding_System
In the [Sloot Digital Coding System], it is claimed that no movies are stored, only basic building blocks of movies, such as colours and sounds. So, when a number is presented to the SDCS, it uses the number to fetch colours and sounds, and constructs a movie out of them. Any movie. No two different movies can have the same number, otherwise they would be the same movie. Every possible movie gets its own unique number. Therefore, I should be able to generate any possible movie by loading some unique number in the SDCS.
Guy named Borges already patented that, I'm afraid.