Comments (4)
Hi, as described in our paper, this efficient computation is an "alternative implementation", which is unnecessary even for 1088x1920 videos. This code provides the default implementation that precomputes correlations of all pairs with complexity O(N^2).
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Hi, as described in our paper, this efficient computation is an "alternative implementation", which is unnecessary even for 1088x1920 videos. This code provides the default implementation that precomputes correlations of all pairs with complexity O(N^2).
Thank you, I am trying to reproduce the efficient way.
Additionally, the subscript of the cost volume should be (m-1) instead of m. Full resolution should be processed when m=1 without pooling, but the formula indicates the pooling 2*2 at level 1
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While the "efficent implementation" has lower complexity, it is generally much faster to precompute all pairs correlation. I've written a fairly optimized CUDA implementation of the "efficent" method (to confirm that the results are exactly the same), and it is still ~4x slower than the default implementation on Sintel resolution images, due to the fact that memory lookups are irregular.
Regarding the formula, I was starting indexing at 0
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While the "efficent implementation" has lower complexity, it is generally much faster to precompute all pairs correlation. I've written a fairly optimized CUDA implementation of the "efficent" method (to confirm that the results are exactly the same), and it is still ~4x slower than the default implementation on Sintel resolution images, due to the fact that memory lookups are irregular.
Regarding the formula, I was starting indexing at 0
I see. Is it possible to achieve correlation in pure torch since no need to handle backward function?
But the index of your paper starts at 1, thus it is a bit of confused
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