Workflow from Scientific Research

Pipeline of our proposed Learning-based Text Synthesis Engine (LBTS). It mainly consists of two networks: text location proposal network (TLPNet) and text appearance adaptation network (TAANet). Given a background image, TLPNet predicts suitable regions for text embedding. Then, TAANet aligns the geometric and color relationship between the synthetic text instance and the background. We trained our proposed networks on decomposed real-world data and applied them in the synthesis domain to generate synthetic scene-text images.

DOI