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What are the state-of-the-art algorithms for single human extraction from image?

I am looking for algorithms able to extract from a picture only the person, reulting in a picture of the person with no background.

Something that look like that:

human extraction from image

The input is the picture on the left and the output is on the right. The input background could be a little more complex, like a photo taken in a kitchen for example.

Thank you.

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    $\begingroup$ Hello, as it stands this question is just way too broad for this platform. Maybe you could edit your question to narrow it down, and explain what you have found so far. $\endgroup$ – Julien Guertault Feb 5 at 6:32
  • $\begingroup$ Please give a couple of examples of what you want to be segmented and what output you are looking for... raw data like pixels, or logical info like a 3D pose. $\endgroup$ – beyond Feb 5 at 11:22
  • $\begingroup$ I edited the post, tell me that is still not clear enough. $\endgroup$ – Nicolas Scotto Di Perto Feb 5 at 15:34
  • $\begingroup$ @NicolasScottoDiPerto: Your question is clear, but it is still asking for something that is exceedingly complicated. Answers would have to be on the order of research papers in terms of scope (or links to research papers). $\endgroup$ – Nicol Bolas Feb 5 at 18:27
  • $\begingroup$ You're wright, also I should have asked only for one that would have make the answer easier. I understandand that asking for the "number one paper" is not realistic, first because there may not one best since this imply a canonical measure of precision and there is none, and also because it is hard to know every papers on the topic. I am asking for a recent good algorithm that has showed great results, that is probably what I meant by state-of-the-art. I want to use it as a preprocessing part for another algorithm that work on persons, the background is adding too much noise. $\endgroup$ – Nicolas Scotto Di Perto Feb 5 at 19:09

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