Jun 18, 2024 · Accurately estimating depth in 360-degree imagery is crucial for virtual reality, autonomous navigation, and immersive media applications.

Jul 7, 2024 · Unsupervised monocular depth estimation frameworks have shown promising performance in autonomous driving. However, existing solutions primarily rely on a ...

Jun 19, 2024 · Möbius transformation-based spatial augmentation (MTSA) is proposed to impose consistency regularization between the unlabeled data and spatially transformed ...

Jul 7, 2024 · Deep learning methods are proven to significantly improve the depth estimation performance of monocular images. •. We use the Attention U-Net architecture ...

Jun 28, 2024 · This research aims to enhance MDE (Monocular Depth Estimation) using a single camera, offering extreme cost-effectiveness in acquiring 3D environmental data. In ...

Jun 19, 2024 · It leverages hierarchical knowledge from external sources and a hierarchical prediction ... Towards scene understanding: Un- supervised monocular depth estimation ...

Jul 8, 2024 · In this work, we introduce a novel method to supervise the depth distribution of 3D Gaussians, utilizing depth priors with integrated uncertainty estimates. To ...

Jul 7, 2024 · We propose a novel unsupervised training framework of depth and pose with 3D hierarchical refinement and augmentation using explicit 3D geometry. PontTuset.

Jul 3, 2024 · Second, we propose a new instance normalization method that is robust to the variation in foreground-background ratios. ... Ranked #19 on Monocular Depth ...

Jun 20, 2024 · As high-level tasks, they focus on understanding more abstract semantics, such as navigation, room layout estimation, and 3D scene graph prediction. In this ...