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[D] Learnable image loss – what are the approaches?

When doing auto encoders on images L1 loss is the standard choice but it tend to produce blurry images. Is there any literature that have a learnable loss, maybe something like GANs or some other function that takes a target image and an output from the network but is also trainable?

I haven’t seen this in the VAE and AE papers I’ve read but I’m sure there are lots of examples. Have you found any learnable losses or similar approaches?

submitted by /u/mesmer_adama
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.