The principle of 2D guided masking

[whuhxb]

Hi @ZrrSkywalker @ZiyuGuo99

Specifically, how to use the 2D saliency map to guide the masking? Also, random masking on the 2D saliency map? Or according to what principle? Thanks a lot.

[ZrrSkywalker]

Thanks for your interest.
We first aggregate multi-view 2D saliency map into a 3D saliency cloud at here. Then, we assign the masking probability of each point by the related saliency value at here. Higher saliency value leads to lower masking probability.

[whuhxb]

Thanks for your interest. We first aggregate multi-view 2D saliency map into a 3D saliency cloud at here. Then, we assign the masking probability of each point by the related saliency value at here. Higher saliency value leads to lower masking probability.

OK. Thanks a lot. I will try to understand the details again.