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Found 2 papers, 2 papers with code
Intrinsic Image Harmonization
Specifically, we harmonize reflectance through material-consistency penalty, while harmonize illumination by learning and transferring light from background to foreground, moreover, we model patch relations between foreground and background of composite images in an inharmony-free learning way, to adaptively guide our intrinsic image harmonization.
Ranked #7 on
Image Harmonization
on HAdobe5k(1024$\times$1024)
Image Harmonization With Transformer
Current solutions mainly adopt an encoder-decoder architecture with convolutional neural network (CNN) to capture the context of composite images, trying to understand what it looks like in the surrounding background near the foreground.
Ranked #11 on
Image Harmonization
on iHarmony4
