From the menu options, choose “set as wallpaper.” Now decide whether you want to to use your new wallpaper as your home screen background, lock screen or both, and choose the appropriate option. Click on the image, then look to the upper right corner and click on the menu button (three vertical dots). Then open your gallery/photos app and from there open the “download” folder, where you will see the image you just downloaded. Now you will able to crop or arrange the image to your liking when it looks perfect, tap “set.” The only thing left to do is select whether you want the image to be your lock screen, home screen or both.and enjoy! Android: Choose one of our many exquisite wallpapers and download it by clicking on the yellow “download” button just below the image. Use the “share” button (looks like an arrow curving out of a box) and then select the “use as a wallpaper” button. Next choose “save image” from the options below, go to your Photos and find the image you just downloaded. Then tap on the image and hold for a few seconds. Now go back to your desktop and admire your new wallpaper! iPhone/iPad: Select a beautiful wallpaper and click the yellow download button below the image. On your computer, find the downloaded image and click on the photo. Then click Apple Menu > System Preferences > Desktop & Screen Saver > Desktop. Find the image on your computer, right-click it and then click “set as desktop background.” Now the only thing left to do is enjoy your new wallpaper! Mac: Find a wallpaper you love and click the blue “download” button just below. When you click the “download” button, the wallpaper image will be saved, most likely in your “downloads” folder. Just below the image you’ll see a button that says “Download.” You will also see your screen’s resolution, which we have figured out for you. We also showcase the manipulation of real images through GAN inversion.Windows: First, choose your wallpaper. Both qualitative and quantitative comparisons demonstrate the advantage of DragGAN over prior approaches in the tasks of image manipulation and point tracking. 1970s 2 Cars Drag Racing Grandstand by Vintage Images 1970s 1980s. Browse Getty Images premium collection of high-quality, authentic Classic Drag Racing Cars stock photos, royalty-free images, and pictures. Choose your favorite drag racing photographs from 10867 available designs. As these manipulations are performed on the learned generative image manifold of a GAN, they tend to produce realistic outputs even for challenging scenarios such as hallucinating occluded content and deforming shapes that consistently follow the object's rigidity. Browse 243 classic drag racing cars photos and images available, or start a new search to explore more photos and images. Through DragGAN, anyone can deform an image with precise control over where pixels go, thus manipulating the pose, shape, expression, and layout of diverse categories such as animals, cars, humans, landscapes, etc. To achieve this, we propose DragGAN, which consists of two main components including: 1) a feature-based motion supervision that drives the handle point to move towards the target position, and 2) a new point tracking approach that leverages the discriminative GAN features to keep localizing the position of the handle points. In this work, we study a powerful yet much less explored way of controlling GANs, that is, to "drag" any points of the image to precisely reach target points in a user-interactive manner, as shown in Fig.1. Existing approaches gain controllability of generative adversarial networks (GANs) via manually annotated training data or a prior 3D model, which often lack flexibility, precision, and generality. Synthesizing visual content that meets users' needs often requires flexible and precise controllability of the pose, shape, expression, and layout of the generated objects.
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