What is it about?
Recent advances in computer vision have made 3D structure-aware editing of still photographs a reality. Such computational photography applications use a depth map that is automatically generated by monocular depth estimation methods to represent the scene structure. In this work, we present a lightweight, web-based interactive depth editing and visualization tool that adapts low-level conventional image editing operations for geometric manipulation to enable artistic control in the 3D photography workflow. Our tool provides real-time feedback on the geometry through a 3D scene visualization to make the depth map editing process more intuitive for artists. Our web-based tool is open-source and platform-independent to support wider adoption of 3D photography techniques in everyday digital photography.
Featured Image
Photo by Sebastian Pichler on Unsplash
Why is it important?
Many recent computational photography techniques rely on accurate depth maps, yet there are no easy tools that allow artists to make changes or corrections to them.
Read the Original
This page is a summary of: Interactive Editing of Monocular Depth, July 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3532719.3543235.
You can read the full text:
Contributors
The following have contributed to this page