You don't always need an RTX 5090 to run useful models ...

In the AI field, new models are being constantly released and every other week, a new AI image model comes out on top. So in this article, we have compiled a list of the best AI image generators which ...

Advances in light sheet fluorescence microscopy (LSFM) and tissue clearing have enabled 3D imaging of intact tissue samples; however, the analytical tools for processing these datasets have lagged ...

In the realm of digital imaging, two fundamental processes enable the conversion of analog images into their digital counterparts: sampling and quantization. These processes form the basis for how ...

Image quantization is a process in digital image processing that reduces the number of distinct colors or shades in an image. This is typically done to reduce the file size of an image or to meet the ...

PyTorch implementation of 'SDEdit' (Meng et al., 2021) from scratch and applying it to 'DDPM' on CelebA at 64 × 64 ...

Abstract: This is an exploratory study that discovers the current image quantization (vector quantization) do not satisfy translation equivariance in the quantized space due to aliasing. Instead of ...

Quantization is a process aimed at simplifying data representation by reducing precision – the number of bits used. This process involves approximating a continuous range of values with a smaller set ...

Abstract: The necessity for color image quantization arises from limitations in image display, output, storage, and transmission devices. This paper proposes a novel metaheuristic approach using ...

KS Image Suite combines various graphical modules into a single project. Including finding similar images, agressive image compression and modules related to scanning images.