Open danielvandenberg95 opened 4 years ago
Same ask. Recently, I used the cropped and resized fg, bg, alpha to compose images online without the F/B reconstruction and calculated the l1 and lap loss of fg and bg with alpah>0 and alpha<1, respectively. I am wondering that might make the performance worse. And I also tried the fg extension code provided in this GitHub and I found sometimes the reconstructed fg is not good enough so I dropped it.
where is the FG extension code @zoezhou1999. When I open the link in Readme it gives 404.
A commit in December moved the file.
This is the last version where the file still was in the same location:
This is the new location:
This related issue might be interesting for you as well:
In the paper you mention that "Levin's F,B estimation technique" was used. That paper however only gives a very brief mention of what method was used for reconstructing.
Now I'm trying to see if it would be doable to fine-tune this model to work with higher resolutions (around 1K), which means I want to generate some extra training data. Would you have any resources that could help me implement Levin's? (Or even better, how did you do it?)