Jul 26, 2024 · Monocular depth estimation, which determines the depth of objects from a single image, benefits from training on large and diverse datasets. However, collecting ...

Aug 2, 2024 · Monocular depth estimation involves deducing the depth information of a scene from a single camera. This is inherently challenging as it requires the model to ...

Jul 26, 2024 · Monocular Depth Estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image.

4 days ago · Our method achieves accuracy improvements of 33.39% and 5.21% in zero-shot testing on the Booster and Mirror3D dataset for non-Lambertian surfaces, respectively ...

Aug 1, 2024 · Accurate depth estimation from monocular images continues to pose a formidable challenge owing to boundary blurring, illumination variations, and occlusions ...

Jul 23, 2024 · They are super accurate, they have high-resolution outputs that capture the finest of the details, and the depth of transparent and reflective surfaces can be ...

Aug 1, 2024 · This paper introduces a novel self-supervised monocular depth estimation method that leverages rich-resource priors to achieve high-precision depth predictions.

Jul 25, 2024 · The ability to accurately estimate depth information is crucial for many autonomous applications to recognize the surrounded environment and predict the depth ...

Jul 25, 2024 · The most accurate approaches are based on fully supervised learning models, which rely on a large amount of dense and high-resolution (HR) ground-truth depth ...

Jul 29, 2024 · The paper builds on the established understanding that increasing baseline separation can significantly improve depth estimation accuracy, a concept well-known ...