Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

Speech enhancement and speech separation are two related tasks, whose purpose is to
extract either one or more target speech signals, respectively, from a mixture of sounds …

Image segmentation is usually addressed by training a model for a fixed set of object
classes. Incorporating additional classes or more complex queries later is expensive as it …

Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …

It is widely known that neural networks (NNs) are universal approximators of continuous
functions. However, a less known but powerful result is that a NN with a single hidden layer …

We have witnessed rapid progress on 3D-aware image synthesis, leveraging recent
advances in generative visual models and neural rendering. Existing approaches however …

Given two images depicting a person and a garment worn by another person, our goal is to
generate a visualization of how the garment might look on the input person. A key challenge …

A Gentle Introduction to Graph Neural Networks Distill About Prize Submit A Gentle Introduction
to Graph Neural Networks Neural networks have been adapted to leverage the structure and …

Abstract We present Viewset Diffusion, a diffusion-based generator that outputs 3D objects
while only using multi-view 2D data for supervision. We note that there exists a one-to-one …

The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven
unconditional generative image modeling. We expose and analyze several of its …