Abstract: This work introduces Semantically Masked Vector Quantized Generative Adversarial Network (SQ-GAN), a novel approach integrating semantically driven image coding and vector quantization to ...
If you do local image generation it can be difficult to tell if the small adjustments you're making actually improve the quality of the output, it's common to end up squinting at two images side by ...
Abstract: This paper presents Bottom-up Residual vector quantization for learned Image Compression (BRIC). This novel deep learning-based image compression method quantizes latent representations ...
Interactive Background Remover is a user-friendly tool designed to remove backgrounds from images using a combination of interactive models (Segment Anything) and automatic whole-image models (such as ...
Processing of faces as stimuli is known to be associated with a conspicuous ERP component N170. Processing of fa-miliar faces is found to be associated with an increased amplitude of the ERP ...