Abstract Real‐time Monte Carlo denoising aims at removing severe noise under low
samples per pixel (spp) in a strict time budget. Recently, kernel‐prediction methods use a …

In recent years, artificial intelligence technology for gravitational wave data analysis has
developed rapidly. In this paper, we put forward a new artificial intelligence model for …

We introduce 𝒢‐Style, a novel algorithm designed to transfer the style of an image onto a 3D
scene represented using Gaussian Splatting. Gaussian Splatting is a powerful 3D …

Speaker recognition is a challenging problem in behavioral biometrics that has been
rigorously investigated over the last decade. Although numerous supervised closed-set …

We present a kernel‐predicting neural denoising method for path‐traced deep‐Z images
that facilitates their usage in animation and visual effects production. Deep‐Z images …

Object detection is a computer vision task that involves localisation and classification of
objects in an image. Video data implicitly introduces several challenges, such as blur …