论文标题
视觉内容的几何增强：超越地面真相
Geometry Enhancements from Visual Content: Going Beyond Ground Truth
论文作者
论文摘要
这项工作提出了一种新的环状体系结构，该结构从图像中提取高频图案，并将其重新插入为几何特征。此过程使我们能够增强低成本深度传感器的分辨率，一方面捕获细节，忠于另一方面的扫描地面真相。我们为深度超分辨率任务以及视觉上有吸引力的增强生成的3D模型提供了最先进的结果。
This work presents a new cyclic architecture that extracts high-frequency patterns from images and re-insert them as geometric features. This procedure allows us to enhance the resolution of low-cost depth sensors capturing fine details on the one hand and being loyal to the scanned ground truth on the other. We present state-of-the-art results for depth super-resolution tasks and as well as visually attractive, enhanced generated 3D models.
