Results on horizontal flipped images about hairmapper HOT 3 CLOSED

Hi Robin, I am not sure what different means.

Maybe you want to say the H(aligned_image) and Flip(H(Flip(aligned_image))) are not pexel aligned (that is , the pixel at [x,y] in H(aligned_image) is different from the pixel at [x,y] in Flip(H(Flip(aligned_image))))?

Actually, I don't think the horizontal flipping augmentation can make the models strictly left-right symmetry, because some operations in network is not symmetry.

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If you want to say the H(aligned_image) and Flip(H(Flip(aligned_image))) look visually different.

We didn't consider horizontal flipping augmentation in our HairMapper, so this may be one of the reasons.

I think a better idea is to apply 3D-view-consistent in HairMapper training.
With 3D-view-consistent, our method may output smooth results on videos.

I hope this can be helpful.

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Like this A, and B are the same aligned images; C is H(aligned_image); D is Flip(H(Flip(aligned_image))); the red and blue contours are segmentation results from C & D.

Anyhow, thank you very much!

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