
Sign up to save your podcasts
Or
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:OSDFace: One-Step Diffusion Model for Face RestorationSummary
The paper introduces OSDFace, a novel one-step diffusion model for high-speed face restoration. OSDFace uses a visual representation embedder (VRE) to capture detailed facial information from low-quality images, improving realism and identity consistency. The model incorporates a facial identity loss and a GAN for enhanced alignment with ground truth images. Experimental results show OSDFace surpasses state-of-the-art methods in both visual quality and speed, achieving high-fidelity restoration with significantly reduced computational cost. The authors provide comprehensive quantitative and qualitative comparisons against existing techniques.
原文链接:https://arxiv.org/abs/2411.17163
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:OSDFace: One-Step Diffusion Model for Face RestorationSummary
The paper introduces OSDFace, a novel one-step diffusion model for high-speed face restoration. OSDFace uses a visual representation embedder (VRE) to capture detailed facial information from low-quality images, improving realism and identity consistency. The model incorporates a facial identity loss and a GAN for enhanced alignment with ground truth images. Experimental results show OSDFace surpasses state-of-the-art methods in both visual quality and speed, achieving high-fidelity restoration with significantly reduced computational cost. The authors provide comprehensive quantitative and qualitative comparisons against existing techniques.
原文链接:https://arxiv.org/abs/2411.17163