Our interactive map for the Hexi region in Where Winds Meet. All the oddities, world bosses, foes of the outer realms, and more.

This work presents Depth Anything 3 (DA3), a model that predicts spatially consistent geometry from arbitrary visual inputs, with or without known camera poses. In pursuit of minimal modeling, DA3 ...

Abstract: This paper proposes a camera-LiDAR sensor fusion-based dense depth map estimation method for robust and accurate depth estimation in real-world driving environments. The proposed method ...

Blue Interactive Agency has published an in-depth educational resource examining how “Google Maps marketing now functions as a primary driver of local search visibility within AI-powered search ...

We present Lotus, a diffusion-based visual foundation model for dense geometry prediction. With minimal training data, Lotus achieves SoTA performance in two key geometry perception tasks, i.e., ...

Abstract: Convolutional neural network (CNN) provides significant performance improvement for depth map super-resolution (DSR). However, CNN-based DSR methods still face two prominent issues: 1) the ...