Faceswap Forum

I'm putting together some source data, and one of the source vids I want to use is black and white. Everything else is in color.

Would the black and white footage still be valuable to have, due to the face features being included, or would the lack of color actually throw things off? Would it be better overall for future trained models to just leave out the B/W input data?

That's really to complicated to answer. Depending on your data available, it might be that you NEED the extra data to get reasonable results. It could also equally be that you would just get better results from your color data.

Unfortunately there is no one "correct" answer without having all the information.

Hehe fair enough. But theoretically, suppose I have 1000 good, diverse, high quality pictures. Then, suppose I have a separate video that adds maybe 3-500 high quality pictures that might add some facial expression diversity, but are entirely black and white. Would you keep those in, or would you forgo them entirely?

Also, separate but related question: how does the converse of that work? Suppose I have a well-trained model (using color photos only), and I want to convert onto a video that is black and white. Would that work at all? This one, I can probably determine experimentally with minimal effort.

I'd put the B+W ones in, but would probably ensure they didn't take more than 15-20% of my total dataset.

This is pure "finger in the air" stuff though.