We make the distinction between (i) style transfer, in which a source image is manipulated to match textures and colors of target image, (ii) essence one edits include high-level semantic attributes from target. Crucially, that constitute an may differ image. Our blending operator combines powerful StyleGAN generator encoder CLIP novel way simultaneously additive both latent spaces, resulting m...

Optical imaging through turbid samples and fibers is made possible by adaptive correction of scattering guided image quality.

Noise removing belongs to image restoration in digital image processing. It’s the essential guarantee of identifying image information and the reliable guarantee of making further image processing. A satisfying result can’t be found if processing method such as feature extraction, registration or image fusion is carried out on an image with noise. So removing noise is absolutely necessary for i...