Really well done presentation - you can see that that a lot of effort went into it. And the results are very compelling. Great work, and thanks for sharing it!
I was going through the original paper. It is very impressive to see the efforts and thoughts put together to implement this. Great work and Nice presentation also.
very interesting! what happens during cross attention layer when the input images are pointing at different views and have 0 correlations? is the cross attention layer completely separate from the self attention layer i.e. it doesn't use the result from self attention layer for cross attention? thanks 👍 great work
![[ICCV 2021] Pixel-Perfect Structure-from-Motion with Featuremetric Refinement](http://i.ytimg.com/vi/2HuCMuraFk0/mqdefault.jpg)
Very impressive and concise. My ideal example of presentation.
Great work. Effective but intuitive approach. Code base and paper are easy to understand. Really demonstrate how deeply the team understand the topic!
Great work and presentation !
Really well done presentation - you can see that that a lot of effort went into it. And the results are very compelling. Great work, and thanks for sharing it!
I was going through the original paper. It is very impressive to see the efforts and thoughts put together to implement this. Great work and Nice presentation also.
This is cool.
Very nice work!
very interesting! what happens during cross attention layer when the input images are pointing at different views and have 0 correlations? is the cross attention layer completely separate from the self attention layer i.e. it doesn't use the result from self attention layer for cross attention? thanks 👍 great work