Butler Eagle

Knapp: 4 tips for charting your own electronic maps the next time you go fishing

Hydrographic maps reveal subsurface features with the potential to hold fish, the degree to which largely depends on the ...
IEEE

DenseJIN: Dense Depth Image Steganography Model With Joint Invertible and Noninvertible Mechanisms

Abstract: Image steganography discreetly embeds secret information within a carrier, allowing covert communication and enabling the receiver to extract the concealed data when needed. Previous ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Remarkably, human brains have the ability to accurately perceive and process the real-world size of objects, despite vast differences in distance and perspective. While previous studies have delved ...
GitHub

Core ML Stable Diffusion

iPhone 12 Mini CPU_AND_NE SPLIT_EINSUM_V2 20 1.3 iPhone 12 Pro Max CPU_AND_NE SPLIT_EINSUM_V2 17 1.4 iPhone 13 CPU_AND_NE SPLIT_EINSUM_V2 15 1.7 iPhone 13 Pro Max CPU_AND_NE SPLIT_EINSUM_V2 12 1.8 ...
IEEE

Gradient Guided Depth Super-Resolution Using Attention-Based Cross Domain Interaction Module

Abstract: Color guided depth image super-resolution (DISR), leveraging the strong structural similarity between the registered high-resolution (HR) color image and the low-resolution (LR) depth image.
GitHub

Awesome Depth Anything 3

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 ...