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Deep image prior is a type of convolutional neural network used to enhance a given image with no prior training data other than the image itself. A neural network is randomly initialized and used as prior to solve inverse problems such as noise reduction, super-resolution, and inpainting.
Let's Enhance. Let's Enhance [1] is a Ukrainian start-up [2] which develops an online service driven by artificial intelligence which allows improving images and zooming them without losing quality. [3] According to the developers, [4] they used the super-resolution technology of machine learning. The neural network, trained on a large base of ...
Fotor is a multi-platform photo editing software. It was first launched in 2012 and was dubbed "Photoshop Lite" by the BBC. Fotor's software is available on mobile devices, desktop computers, and online as a web app. It offers a suite of image editing tools and features for users to edit and enhance photos quickly and easily.
DALL·E 2 uses a diffusion model conditioned on CLIP image embeddings, which, during inference, are generated from CLIP text embeddings by a prior model. Contrastive Language-Image Pre-training (CLIP) Contrastive Language-Image Pre-training is a technique for training a pair of models. One model takes in a piece of text and outputs a single vector.
Tools[edit] Images can often be improved – or even transformed – by using graphics software such as Photoshop or the free GIMP and Paint.NET applications. Many other programs also have photo-enhancing tools, including facilities for semi-automatic image enhancement, so that you need only click a button, or choose a thumbnail, to have a ...
Website. www .facetuneapp .com. Facetune is a photo and video editing application [1] used to edit, enhance, and retouch photos on a user's iOS or Android device created by Lightricks. [2] [3] [4] The app is often used for portrait and selfie editing. The app implements a number of beauty filters allowing users apply edits such as teeth ...
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