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Monocular depth estimation is a computer vision task that involves predicting the depth information of a scene from a single image. In other words, it is the ...
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Depth estimation models are widely used to study volumetric formation of objects present inside an image. This is an important use case in the domain of ...
8 days ago · A Blog post by Daniil Suhoi on Hugging Face.
Depth estimation is a crucial step towards inferring scene geometry from 2D images. The goal in monocular depth estimation is to predict the depth value of each ...
Mar 22, 2024 · Abstract. Monocular depth estimation is crucial for numerous downstream vision tasks and applications. Current discriminative approaches to ...
A list of official Hugging Face and community (indicated by ) resources to help you get started with Depth Anything. Monocular depth estimation task guide ...
DPT is a model that leverages the Vision Transformer (ViT) as backbone for dense prediction tasks like semantic segmentation and depth estimation. The abstract ...
Jun 19, 2024 · Abstract. Accurately estimating depth in 360-degree imagery is crucial for virtual reality, autonomous navigation, and immersive media ...
Jun 14, 2024 · Depth Anything V2 is trained from 595K synthetic labeled images and 62M+ real unlabeled images, providing the most capable monocular depth ...
Aug 3, 2022 · Feature request We currently have 2 monocular depth estimation models in the library, namely DPT and GLPN. It would be great to have a ...