When I perform Face Frontalization(by the way I used MATLAB code however I found black areas do appear in this Python code too. So I'm asking here) , I get following result.

What drives me crazy is the black areas that appear in frontalized output.
I want to crop around the faces so that black areas disappear. I was actually thinking about cropping the frontalized image by manually setting ROI box to crop only around the face so that black areas will be gone. Does this makes sense?
When seeing the Adience3D.0.1.1.zip database provided in the author's webpage, it looks like the black areas are pretty much gone as shown below

The question is How do I deal with black areas that appear in frontalized image?
I want to get only the frontalized face image without black blank pixels so that the face is fitted to the whole image just like an original input image shown above.
That's all!
Thanks
When I perform Face Frontalization(by the way I used MATLAB code however I found black areas do appear in this Python code too. So I'm asking here) , I get following result.
What drives me crazy is the black areas that appear in frontalized output.
I want to crop around the faces so that black areas disappear. I was actually thinking about cropping the frontalized image by manually setting ROI box to crop only around the face so that black areas will be gone. Does this makes sense?
When seeing the Adience3D.0.1.1.zip database provided in the author's webpage, it looks like the black areas are pretty much gone as shown below

The question is How do I deal with black areas that appear in frontalized image?
I want to get only the frontalized face image without black blank pixels so that the face is fitted to the whole image just like an original input image shown above.
That's all!
Thanks