IEEE

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

Abstract: In this article, we tackle the problem of depth estimation from single monocular images. Compared with depth estimation using multiple images such as stereo depth perception, depth from ...
IEEE

Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints

Abstract: Depth completion aims to recover dense depth maps from sparse depth measurements. It is of increasing importance for autonomous driving and draws increasing attention from the vision ...
GitHub

Unifying Flow, Stereo and Depth Estimation

A unified model for three motion and 3D perception tasks. We achieve the 1st places on Sintel (clean), Middlebury (rms metric) and Argoverse benchmarks. 2025-01-04: Check out DepthSplat for a modern ...
C&EN

Surface Area and the Seabed Area, Volume, Depth, Slope, and Topographic Variation for the World’s Seas, Oceans, and Countries

Leigh Marine Laboratory, University of Auckland, P.O. Box 349, Warkworth 0941, New Zealand, School of Environment, University of Auckland, Auckland, New Zealand, and VLIZ - Vlaams Instituut voor de ...