Scene Text Synthesis

Scene text synthesis focuses on generating realistic images of text integrated into natural scenes, primarily to create training data for computer vision tasks like text detection and recognition. Recent research emphasizes improving the fidelity of synthesized text by incorporating character-level control during model training and leveraging diverse font styles, often through hybrid optimization strategies and joint training of text encoders and generators. This work aims to address limitations of existing methods, such as character distortion and inconsistencies, leading to more robust and accurate training datasets for downstream applications. The resulting high-quality synthetic data can significantly improve the performance of scene text analysis models.