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Geometry Enhancements from Visual Content: Going Beyond Ground Truth by Azaria, Liran; Raviv, Dan is a scholarly article available to read on EtoBox.

What is Geometry Enhancements from Visual Content: Going Beyond Ground Truth about?

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.

Author

Azaria, Liran; Raviv, Dan

Published

2020

Language

EN