Joan Birman popularized the Burau representation problem decades ago. Now she and two colleagues have a proof that reveals ...

Nvidia’s paper on its ArtFixer tool begins with a line that is absolutely incomprehensible if you’re not already AI-pilled: Per-scene optimization methods such as 3D Gaussian Splatting provide ...

Abstract: Electrical impedance tomography (EIT) is a non-invasive imaging technique that reconstructs the internal conductivity distribution of a target object, with applications spanning medical ...

Gaussian Graphical Models (GGMs) are a type of network modeling that uses partial correlation rather than correlation for representing complex relationships among multiple variables. The advantage of ...

Dynamic view synthesis (DVS) has advanced remarkably in recent years, achieving high-fidelity rendering while reducing computational costs. Despite the progress, optimizing dynamic neural fields from ...

Our method extracts a mesh from RGB images and builds an adaptive layer of 3D Gaussians around the mesh to better capture the fine details and volumetric effects near the surface, such as hair or ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and ...

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...