Most colorizations (with people) are brownish

[panuganti]

Quite a lot of grayscale pictures (taken from black & white movies) are colorized into brownish color. How that can be improved ?

[microic]

I also meet this problem, “brownish” means no overall feature is learned see https://github.com/microic/niy/tree/master/examples/colorizing_photos

[richzhang]

The system is trained with modern day photographs. Black&white stills from movies may look very different than the training set. This is known as a "domain shift." A possible fix would be to fine-tune the system using stills from older color movies.

[panuganti]

@richzhang Do you have a keras (or TFLearn) implementation of your amazing project ? I'd like to try training the system using the stills from those old black & white movies.

[richzhang]

I do not, but there may be other implementations out there!