Abstract: Depth from focus (DFF) estimates scene depth by analyzing images captured at different focus distances. Recent deep learning–based DFF methods can predict depth at a metric scale; however, ...
Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...
depth_estimation is the model-definition framework for depth estimation. It provides a single, consistent API across 12 model families and 28 variants — so you can swap models, compare them, and ...
SHANGHAI--(BUSINESS WIRE)--Robbyant, an embodied AI company within Ant Group, today open-sourced LingBot-Depth, a high-precision spatial perception model designed to enhance robots’ depth sensing and ...
Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design. In 2025, the most consequential works ...
Most of the freshwater in the United States isn’t in rivers or lakes. It’s underground, hidden at different depths, and it can change dramatically from one place to the next. A new study offers a much ...
How much fresh water is in the United States? It's a tough question, since most of the water is underground, accessible at varying depths. In previous decades, it's been answered indirectly from data ...
Seasonal snow can cover up to approximately one-third of the Earth’s land surface, making it one of the most temporary yet crucial natural water reservoirs (Dayal et al., 2023). It is an established ...
This repository is based on Marigold, CVPR 2024 Best Paper: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation For a streamlined setup, we provide a Docker environment that ...
Abstract: As one of the key tasks in automatic driving, vision-based depth estimation plays an important role in environment perception and decision control. In this study, a novel control decision ...