Glyph Image

Glyph image research focuses on improving the generation, recognition, and understanding of visual text within images, addressing challenges like illegibility and misspellings in text-to-image models and improving accuracy in scene text recognition. Current research employs various deep learning architectures, including diffusion models, contrastive learning approaches, and generative adversarial networks (GANs), often incorporating glyph-aware training or mask-guided feature refinement to enhance performance. This work has significant implications for applications such as digital map creation, urban scene understanding, and improving the accuracy of text-to-image generation and handwritten optical character recognition (OCR) systems.