GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for
spatial analytics in Geography. Although much progress has been made in exploring the …

Self-supervised monocular depth estimation has been widely studied, owing to its practical
importance and recent promising improvements. However, most works suffer from limited …

Depth cues are known to be useful for visual perception. However, direct measurement of
depth is often impracticable. Fortunately, though, modern learning-based methods offer …

Multi-frame depth estimation generally achieves high accuracy relying on the multi-view
geometric consistency. When applied in dynamic scenes, eg, autonomous driving, this …

Self-supervised monocular depth estimation has garnered significant attention in recent
years due to its practical value in applications, as it eliminates the need for ground truth …

Depth estimation from a single image frame is a fundamental challenge in computer vision,
with many applications such as augmented reality, action recognition, image understanding …

Self-supervised monocular depth estimation has succeeded in learning scene geometry
from only image pairs or sequences. However, it is still highly ill-posed for self-supervised …

Diffusion models have recently shown significant advancement in the generative models
with their impressive fidelity and diversity. The success of these models can be often …

Depth completion can predict a dense depth map by taking a sparse depth map and the
aligned RGB image as input, but the acquisition of ground truth annotations is labor …

Abstract Monocular Semantic Scene Completion (SSC) empowers intelligent devices to
comprehend voxel occupancy (geometry) and semantics in 3D scenes, attracting significant …