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_Yeet_xoxo t1_itb9484 wrote

If you get it to “predict” the next image it will give the mean image. This is because the previous image contains no information about the next image.

For image generation GAN modes and auto encoder models are the basic way to generate fake images.

After that I’m not sure how to extend it to a video context though.

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thhvancouver OP t1_itba1on wrote

I’m just making a single picture now (got to be some picture after learning from 3.5gb of examples)

If I were to make a video, I suppose I could just try to get the same model to regenerate each frame of a sample video?

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eyeswideshhh t1_itbar63 wrote

After that run lstm/rnn on sequence of latent variable obtained from autoencoder to predict next latent variable and decode that maybe.

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