Deep Image Prior · HackerPapers discussions

Deep Image Prior — mentioned by phonebucket

Tue, 24 Jan 2023 15:29:18 GMT

A lot depends on what you're interested in. Some papers that are runnable on a laptop CPU (so long as you stick to small image sizes/tasks): 1) Generative Adversarial Networks (https://arxiv.org/abs/1406.2661). Good practice to have a custom training loops, different optimisers and networks etc. 2) Neural Style Transfer (https://arxiv.org/abs/1508.06576). Nice to be able to manipulate pretrained networks and intercept intermediate layers. 3) Deep Image Prior (https://arxiv.org/abs/1711.10925). Nice low-data exercise in building out an autoencoder. 4) Physics Informed Neural Networks…

Paper and discussion history. A mention is not an endorsement.

Deep Image Prior — mentioned by vintermann

Mon, 27 Dec 2021 08:50:22 GMT

> Up until now learning to replicate the input exactly was called overfitting and considered a bug, not a feature, but they showed a completely new way to wield neural nets. Well, for that particular ting there was a predecessor of sort in Deep Image Priors from 2017. https://arxiv.org/abs/1711.10925 That was all about overfitting a neural net on a single image, which they used to get impressive inpainting, noise removal and superresolution results without any training at all (though of course it did not beat state of the art training-based approaches, even then.) I had a lot of fun playing…

Paper and discussion history. A mention is not an endorsement.

Deep Image Prior — mentioned by loser777

Sat, 20 Feb 2021 21:47:40 GMT

What happens when the perturbed images are processed by some noise removal method? On the crude end, even something like aggressive JPEG compression will tend to remove high frequency noise. There's also more sophisticated work like Deep Image Prior [1], which can reconstruct images while discarding noise in a more "natural" way. Finally, on the most extreme end, what happens when someone hires an artist or builds a sufficiently good robot artist to create a photorealistic "painting" of the perturbed image? There's a lot of work on compressing/denoising images so that only the human-salient…

Paper and discussion history. A mention is not an endorsement.

Deep Image Prior — mentioned by blt

Tue, 21 Aug 2018 15:12:11 GMT

(two comments in this thread:) > What always fascinated me is how those images look almost exactly like the hallucinations you get on some psychedelics... The AI must be pretty close if they can already match the output of a confused human brain. > Traditionally, with computer generated stuff, you could clearly see the math in the algorithms (the sine waves and fractals and whatnot). With AI generated stuff it looks... natural... It's a computer no longer letting you see how he thinks. The paper "Deep Image Prior" by Dmitry Ulyanov et al. gives compelling evidence that the structure of…

Paper and discussion history. A mention is not an endorsement.