The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..." ...

Abstract: Deep learning based methods have shown superior performance in monocular depth estimation tasks. However, the existing methods often overlook small-scale objects and vertical information ...

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..." ...

Moreover, to obtain more precise object depth information, an Object-level Depth Modulator (ODM ... Our MoVis represents a progressive approach that emulates how human monocular vision utilizes ...

this dissertation introduces two novel monocular depth estimation techniques. The first developed depth model uses temporal image sequences instead of single images to infer depth from motion cues ...

Check out the examples on Moultano's blog: To photograph a forest, and convey anything like the experience of being there, you need the world to give you other visual cues to add depth to the ...

Non-verbal cues are the signals that your character sends ... By using these steps, you can use subtext to create depth in a character and make your film more engaging, complex, and meaningful.

There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.

There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.

The results indicate that our stereo image denoising technique not only achieves superior noise reduction performance but also maintains the critical details necessary for accurate depth estimation.