Abstract: Vector quantization is a viable solution to the problem as to full utilization of randomness provided by statistically dependent channel measurements in secret key extraction from randomly ...

Imagine looking for similar things based on deeper insights instead of just keywords. That's what vector databases and similarity searches help with. Pangkalan data vektor enable vector similarity ...

Write a program to implement vector quantization on a gray-scale image using a "vector" that consists of a 4x4 block of pixels. Design your codebook using all the blocks in the image as training data, ...

The PQ implementation was tested on datasets ranging from 1,000 to 1,000,000 vectors (128 dimensions each), using 16 subspaces and 256 centroids per subspace. Key ...

Text-to-image diffusion models have made significant strides in generating complex and faithful images from input conditions. Among these, Diffusion Transformers Models (DiTs) have emerged as ...