DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion

arXiv:2404.00661v1 Announce Type: new
Abstract: Diffusion models, known for their powerful generative capabilities, play a crucial role in addressing real-world super-resolution challenges. However, these models often focus on improving local textures while neglecting the impacts of global degradation, which can significantly reduce semantic fidelity and lead to inaccurate reconstructions and suboptimal super-resolution performance. To address this issue, we introduce a novel two-stage, degradation-aware framework that enhances the diffusion model's ability to recognize content and degradation in low-resolution images. In the …

arxiv cs.cv diffusion image resolution stable diffusion type via world