Diffusion-based Blind Text Image Super-Resolution

arXiv:2312.08886v2 Announce Type: replace
Abstract: Recovering degraded low-resolution text images is challenging, especially for Chinese text images with complex strokes and severe degradation in real-world scenarios. Ensuring both text fidelity and style realness is crucial for high-quality text image super-resolution. Recently, diffusion models have achieved great success in natural image synthesis and restoration due to their powerful data distribution modeling abilities and data generation capabilities. In this work, we propose an Image Diffusion Model (IDM) to restore text images with …

abstract arxiv blind chinese cs.cv diffusion diffusion models fidelity image images low natural quality style success synthesis text type world