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I face the problem of learning a mapping (or a translation) $f: (x,\theta) \to x^\prime$, where $x, x^\prime$ are images, $\theta$ is the parameters of a neural network.

I know the models for parameters-to-parameters mapping (meta-learning), images-to-images mapping (style transfer, auto-encoders). But I have no idea which deep learning models can do parameters-to-images mapping.

Any suggestion is welcomed.

Mingzhou Liu
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  • Could you provide more details on your use case. Preferably give a more specific example of what you are working on. An example of a parameter set, an original image and a target image. – Robin van Hoorn Feb 20 '23 at 14:30

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