Digital art restoration has benefited from inpainting models to correct the degradation or missing sections of a painting. This work compares three current state-of-the art models for inpainting of large missing regions. We provide qualitative and quantitative comparison of the performance by CoModGANs, LaMa and GLIDE in inpainting of blurry and missing sections of images. We use Escher's incomplete painting Print Gallery as our test study since it presents several of the challenges commonly present in restorative inpainting.
翻译:数字艺术的恢复得益于用于纠正绘画的退化或缺失部分的绘画模型的绘制,这项工作与目前三大缺失地区绘画的三种最新艺术模型进行了比较,我们从质量和数量上比较了CoModGANs、LaMa和GLIDE在绘画模糊和缺失部分图像方面的性能。我们用Esher的不完整绘画印刷画廊作为我们的测试研究,因为它提出了恢复性绘画中常见的一些挑战。