G-Refine: A General Quality Refiner for Text-to-Image Generation

arXiv:2404.18343v1 Announce Type: cross
Abstract: With the evolution of Text-to-Image (T2I) models, the quality defects of AI-Generated Images (AIGIs) pose a significant barrier to their widespread adoption. In terms of both perception and alignment, existing models cannot always guarantee high-quality results. To mitigate this limitation, we introduce G-Refine, a general image quality refiner designed to enhance low-quality images without compromising the integrity of high-quality ones. The model is composed of three interconnected modules: a perception quality indicator, an alignment quality …

arxiv cs.cv cs.mm general image image generation quality refine text text-to-image type