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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.
Mono-ViFI: A Unified Learning Framework for Self-supervised Single
github.com › LiuJF1226 › Mono-ViFI
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.
aifeixingdelv/MonoViM: An Enhancing Self-supervised ... - GitHub
github.com › aifeixingdelv › MonoViM
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- ...