Aug 2, 2024 · In this paper, we propose Rich-resource Prior Depth estimator (RPrDepth), which only requires single input image during the inference phase but can still ...

Jul 19, 2024 · Abstract:Self-supervised monocular depth estimation has gathered notable interest since it can liberate training from dependency on depth annotations.

Aug 1, 2024 · In response, this paper introduces a fresh approach to self-supervised monocular depth estimation leveraging HOG (Histogram of Oriented Gradients) feature ...

Jul 26, 2024 · Self-supervised multi-frame monocular depth estimation relies on the geometric consistency between successive frames under the assumption of a static scene. 20.

Jul 23, 2024 · This paper employs Monte Carlo methods to generate uncertainty maps that guide self-supervised monocular depth estimation learning. We sample multiple model ...

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 19, 2024 · Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation (ECCV 2024) - LiuJF1226/Mono-ViFI.

Jul 29, 2024 · Abstract. Self-supervised methods for monocular visual odometry and depth estimation based on deep learning have recently demonstrated very promising results.

Jul 25, 2024 · An Enhancing Self-supervised Monocular Depth Estimation via Mamba. - aifeixingdelv/MonoViM.

Jul 29, 2024 · BaseBoostDepth is a novel method for improving self-supervised monocular depth estimation by utilizing larger baselines, inspired by concepts from multi- ...