Guillaume Charpiat's Projects in Images

Automatic image colorisation


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Aim : to guess how an image would look like if it had been taken by another imaging tool (example: a human body scan taken by different kinds of medical scanners)
Application : to convert a greyscale image into a color one, based on other examples of color images
Method : to learn the correlation between texture and color in the training set
Difficulties : multiple possibilities locally, and spatial coherency


Example : we forget the original colors of (a part of) the "Mona Lisa" painting by Leonardo da Vinci, and recolor it automatically thanks to (a part of) another painting by the same author, namely "Madonna of the yarnwinder":
colorisation mona lisa

Another example : colorisation of a picture taken in Iceland thanks to another picture of the same area (but of a different moutain):
colorisation iceland landscape + colorisation iceland landscape = colorisation iceland landscape


Yet another example : colorisation of a zebra picture thanks to another zebra picture:
colorisation zebra + colorisation zebra = colorisation zebra


A more challenging example : colorisation of a picture of Charlie Chaplin thanks to a set of several very dissimilar pictures:
colorisation charlie chaplin + colorisation charlie chaplin + colorisation charlie chaplin + colorisation charlie chaplin = colorisation charlie chaplin



New examples, on much bigger datasets:




Associated publications:
Related project:



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