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Yeah but you're assuming that you know how their creating this data. Just throwing an option out there - what if they created a latent space of 3D people and it
by gilbaz 7y ago
Yeah but you're assuming that you know how their creating this data. Just throwing an option out there - what if they created a latent space of 3D people and iteratively expanded it with GANs and 2D real image datasets. That would generalize.
Just a thought, not sure what's really going on there, I just know that they probably have something interesting they're cooking up!
This is a really crazy vision
- kory 7y agoTraining a GAN to generate people without a significantly large dataset (if that's even possible) is probably just as difficult of a problem as just building the model you want in the end without sufficient data. Assuming those image sets are small they will create a model with a large bias. If you're talking about fine-tuning an existing model with small datasets, this is done already and works fairly well if not overused. It all comes down to: to create the first "data-generating" model you need a lot of data and compute. Expanding it is a different story, but that isn't where the problem lies. We come full-circle back to the same problem as what we started with: big players can afford to build these models and small players can't.