Autoencoding Blade Runner: reconstructing films with artificial neural networks
1–10 of 39 posts
Re: Autoencoding Blade Runner: reconstructing films with artificial neural networks
#2This is incredible, and almost sounds like the algorithm dreamed up by Pied Piper's middle-out. Incredible application of machine learning technology.
Re: Autoencoding Blade Runner: reconstructing films with artificial neural networks
#3Very interesting. This makes me wonder if a similar technique can be used for compression?
Re: Autoencoding Blade Runner: reconstructing films with artificial neural networks
#4What is the difference between using a neural network to do this and using a filter that obtains the same or similar effect by distorting the frames of the input randomly?
I guess I feel like there's no practical result here. It's only interesting from an aesthetic point of view.
Am I being unfair?
Re: Autoencoding Blade Runner: reconstructing films with artificial neural networks
#5on a side note, I never heard this voice over version before. I am only used to the Harrison Ford voice over. This one lets me understand why many didn't like the VO.
Now back to the article, can someone explain about how many passes before it gets to near film quality? Can it extrapolate missing frames eventually?
Re: Autoencoding Blade Runner: reconstructing films with artificial neural networks
#6Very interesting. This makes me wonder if a similar technique can be used for compression?
Middle-out compression.
Re: Autoencoding Blade Runner: reconstructing films with artificial neural networks
#7Correct me if I haven't looked into this closely, but one glaring problem is that all the results are from the training set. So it's not surprising you get something movie-ish by running the network over a movie it was trained on; the network has already seen what the output of the movie should look like.
Re: Autoencoding Blade Runner: reconstructing films with artificial neural networks
#8What is the difference between using a neural network to do this and using a filter that obtains the same or similar effect by distorting the frames of the input randomly? I guess I feel like there's no practical result here. It's only interesting from an aesthetic point of view. Am I being unfair?
After reading the article, I'm still not sure what the purpose of the training is. If they're trying to reconstruct a film from stills, it seems like a failure since it looks like they wind-up with all sorts of swirly stuff rather than, say, the original film.
If they're trying to create interesting swirly stuff, where do they intend to go after that?
I mean, sure it's aesthetic though not on the level of weirdness of deep dreams modification.
Re: Autoencoding Blade Runner: reconstructing films with artificial neural networks
#9It's a cool thing this guy did.. It would be interesting to see how small the files are that are generated in this process.. Just low pass filtering the video like somebody else suggested would probably achieve a similarly lossy image.
I guess what I take away from this is that maybe the way we store info in our brains looks kind of like this? Kinda fuzzy versions of the real thing?
Would be interesting if somebody one of these days can actually reconstruct to a high level of fidelity what our brain is "seeing".. I bet it would look kind of like this..
Re: Autoencoding Blade Runner: reconstructing films with artificial neural networks
#10Correct me if I haven't looked into this closely, but one glaring problem is that all the results are from the training set. So it's not surprising you get something movie-ish by running the network over a movie it was trained on ; the network has already seen what the output of the movie should look like.
He only trained it on Blade Runner, I think. (This is doable because a single movie has a lot of frames.) So all of the other movies should be out of sample.