The extracted byte data is converted into 1D vectors and reshaped into 2D grayscale images, enabling efficient feature learning through CNNs. The proposed ensemble of CNN-based models undergoes ...

In response to these challenges, this paper presents a Layered Contrastive Representation Distillation (LCRD) network, which leverages numerous unannotated samples in conjunction with a limited number ...

Stability AI has released Stable Virtual Camera, which can transform 2D images into 'immersive' videos with realistic depth ...

A group of Carnegie Mellon University researchers recently devised a method allowing them to create large amounts of a ...

They also show that models learned from nonsynonymous mutations and from out-of-frame sequences are different, prompting new questions about germinal center function. Strengths of the study include an ...

Remaking Disney's first animated movie "Snow White and the Seven Dwarfs" would always be controversial, but Disney's new live-action retelling of the 1937 film may just whistle its way to box office ...

By taking two flakes of special materials that are just one atom thick and twisting them at high angles, researchers at the ...

The field of image synthesis has experienced remarkable advancements, thanks to exponential growth in computing power and innovative algorithm development.

Teen girls and boys in the U.S. face different pressures and have different experiences at school. At the same time, majorities of teens say it’s important to them that as adults they have a job or ...

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets. Get started by running python ddpm.py -h to explore the available options for training. A visualization of the ...

The purpose of this library is have a re-usable and performant 3D Array converter to aide in the formation of inputs needed for algorithms requiring 3 dimenstional array input. The ideal state is to ...