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Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
Apple Machine Learning Research
We present a foundation model for zero-shot metric monocular depth estimation. Our model, Depth Pro, synthesizes high-resolution depth maps…
2 weeks ago
How to Estimate Depth from a Single Image
Towards Data Science
In this post, we will illustrate how to load and visualize depth map data, run monocular depth estimation models, and evaluate depth predictions.
8 months ago
Dense monocular depth estimation for stereoscopic vision based on pyramid transformer and multi-scale feature fusion
Nature
Stereoscopic display technology plays a significant role in industries, such as film, television and autonomous driving. The accuracy of depth estimation is...
6 months ago
Apple releases Depth Pro, an AI model that rewrites the rules of 3D vision
VentureBeat
Apple's Depth Pro AI model sets a new standard in 3D depth estimation, offering high-resolution, real-time depth mapping from a single image without camera...
2 weeks ago
Apple’s New AI Model Creates 3D Depth Maps From 2D Images in Less Than a Second
PetaPixel
Apple researchers created a new AI model, Depth Pro, that can create an accurate, precise 3D depth map from a 2D image in less than a second.
2 weeks ago
Apple's Depth Pro model 3D maps 2D images in a fraction of a second
New Atlas
Apple's Machine Learning Research wing has developed a foundational AI model "for zero-shot metric monocular depth estimation." Depth Pro enables high-speed...
6 days ago
LapUNet: a novel approach to monocular depth estimation using dynamic laplacian residual U-shape networks
Nature
Monocular depth estimation is an important but challenging task. Although the performance has been improved by adopting various encoder-decoder...
1 week ago
Depth Anything —A Foundation Model for Monocular Depth Estimation | by Sascha Kirch
Towards Data Science
Monocular depth estimation, the prediction of distance in 3D space from a 2D image. The “ill posed and inherently ambiguous problem”, as stated in literally...
7 months ago
A synthetic digital city dataset for robustness and generalisation of depth estimation models | Scientific Data
Nature
Existing monocular depth estimation driving datasets are limited in the number of images and the diversity of driving conditions. The images of datasets are...
7 months ago
A road surface reconstruction dataset for autonomous driving - Scientific Data
Nature
Recent developments in intelligent robot systems, especially autonomous vehicles, put forward higher requirements for safety and comfort.
5 months ago