Description
Hello everyone:) Welcome back!! Today, we will dive into a more specific deep image inpainting technique, Deep Feature Rearrangement. This technique takes both the advantages of using modern…
Summary
- Today, we will dive into a more specific deep image inpainting technique, Deep Feature Rearrangement.
- This method offers good local details as we directly paste other image patches on the missing parts.
- Contributions As mentioned, a shift-connection layer is proposed to embed the concept of copy-and-paste in modern CNNs such that their proposed model can offer inpainting results with both correct global semantic structure and fine detailed textures.
- from their paper [1] Recall Figure 2 for the architecture of Shift-Net, 3 different feature maps are concatenated after the shift-connection layer, namely ϕ_L-l(I), ϕ_l(I) and ϕ^shift_L-l(I).