The Super Resolution API uses machine learning to clarify, sharpen, and upscale the photo without losing its content and defining characteristics. Blurry images are unfortunately common and are a …

Jan 28, 2022 · To enable super-resolution for multiple factors, we propose a scale-recurrent framework which reutilizes the filters learnt for lower scale factors recursively for higher factors. This leads to …

Feb 16, 2019 · Recent years have witnessed remarkable progress of image super-resolution using deep learning techniques. In this survey, we aim to give a survey on recent advances of image super …

Beyond making AI accessible to creators worldwide, we believe in using our technology to solve real-world problems and support communities in need. Our "AI for Good" initiative reflects our …

Jul 20, 2018 · With the advent of perceptual loss functions, new possibilities in super-resolution have emerged, and we currently have models that successfully generate near-photorealistic high …

Sep 13, 2023 · In this paper, we introduce a diffusion-based generative model, AudioSR, that is capable of performing robust audio super-resolution on versatile audio types, including sound effects, music, …

Dec 31, 2014 · We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images.

Jan 22, 2022 · Image super-resolution technology is the process of obtaining high-resolution images from one or more low-resolution images. With the development of deep learning, image super …

Jun 28, 2017 · The recent phenomenal interest in convolutional neural networks (CNNs) must have made it inevitable for the super-resolution (SR) community to explore its potential.

Dec 4, 2019 · In this paper, we introduce the task of explorable super resolution. We propose a framework comprising a graphical user interface with a neural network backend, allowing editing the …