The magic of Pianoteq lies in its physical modeling approach. Rather than relying on samples, it uses complex algorithms to emulate the behavior of real piano strings, soundboards, and more. The result? You get
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models [4]This new algorithm transforms a blurry image into a high-resolution image! It can take a super low-resolution 16x16 image and turn it into a 1080p high definition human face! You don't believe me?
The problem with sampling up (enlarging) is that you will lose image quality. The larger you make it, the more quality you will lose. If you need to scale the image down (reduce) then the quality loss isn’t so much as issue, although you may need to sharpen an image if you shrink...
having to find the person or people with the perfect contour. In this post, I review the best techniques used over the years and a novel approach published on November 29th, 2020. Many techniques are using basic computer vision algorithms to achieve this task, such as the GrabCut algorithm,...
Although there have been several feature selection algorithms proposed in the literature (such as the Sequential Backward Selection (SBS) method [30], Sequential Forward Selection (SFS) method [31], Sequential Backward Floating Selection (SBFS) algorithm [15], to name a few), in this work, ...