CRFormer: Multi-scale contrastive regularization transformer for visible watermark removal.
This paper proposes CRFormer, a single-stage Transformer network for blind visible watermark removal that replaces the CNN backbone with a full Transformer to model watermark regions of arbitrary spatial extent and introduces a deformable convolution feed-forward network that restores spatial perception and integrates watermark mask prediction directly into the backbone.