May 12, 2021 · In monocular depth estimation, the goal is the generation of pixel-wise estimates (a.k.a. a depth map) of how far each scene element is from the ...

Nov 10, 2023 · In this paper, we propose MonoProb, a new unsupervised monocular depth estimation method that returns an interpretable uncertainty.

This is the reference PyTorch implementation for training and testing depth estimation models using the method described in MonoViT.

Dec 15, 2023 · Abstract:Self-supervised monocular depth estimation (DE) is an approach to learning depth without costly depth ground truths.

Our self-supervised model,. Monodepth2, produces sharp, high quality depth maps, whether trained with monocular (M), stereo (S), or joint (MS) supervision.

Abstract. Self-supervised monocular depth estimation presents a pow- erful method to obtain 3D scene information from single camera images,.

Monocular depth estimation is a method that uses a single camera to estimate pixel-level distance. Even though more specialized hardware devices, such as Lidar ...

It is shown that a surprisingly simple model, and associated design choices, lead to superior predictions, and together result in both quantitatively and ...

It is obvious that the monocular depth estimation of GI endoscopy images based on self-supervision method is less effective than the fully supervised method, ...