Abstract: In this paper, we propose new normal guided depth completion from sparse LiDAR data and single color image, named NNNet. Sparse depth completion often uses normal maps as a constraint for ...

This repo implements research papers (DN-Splatter and AGS-Mesh) for depth and normal supervision of Gaussian splatting models for improved novel-view synthesis using smartphone data (iPhones) and mesh ...

Depending on who you ask, the Seattle Seahawks' selection of Notre Dame running back Jadarian Price was either a bold move or completely unsurprising given pre-draft rumors. Regardless, the Seahawks ...

Generally, snow depth and water content conditions for this time of year are above normal, according to the Mattagami Region Conservation Authority. Current forecasts over the coming week show daytime ...

Official implementation of Adding Conditional Control to Text-to-Image Diffusion Models. ControlNet is a neural network structure to control diffusion models by adding extra conditions. It copys the ...

Interact with the map for real-time flood updates in San Antonio and the Texas Hill Country. The map above uses data aggregated by the National Oceanic and Atmospheric Administration to show a ...

Mail Online Deep Dive team, including Harry Lewis-Irlam (front) and Stephen Matthews (third from right), picking up the Innovation of the Year award at the British Journalism Awards 2024. Picture: ASV ...

Abstract: Over the past few years, monocular depth estimation and completion have been paid more and more attention from the computer vision community because of their widespread applications. In this ...

Water carves into the Greenland Ice Sheet, exposing layers of dust. At the edge of the ice sheet, surface melt releases old layers of dirt, dust, pollen, or ash that have traveled thousands of years ...

In this paper, we propose a monocular catadioptric panoramic depth estimation algorithm based on an improved end-to-end neural network model. First, we use an enhanced concentric circle approximation ...