SERO: Semantic Prediction for Single-Step Object Removal
The proposed SERO model predicts a hidden-region semantic prior in embedding space, which guides a latent bridge-matching generator toward plausible scene completion by providing both where to edit and what structure is likely to exist behind the removed object.