Gif&039 Ted 1 1 36 Video
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Resize GIF Resize GIF by defining new height and width pixels. Resize many GIF images at once online. See a recent post on Tumblr from @trapstrblog about gif. Discover more posts about animation, anime, art, flashing, and gif. GIF Engaging and clever use of motion in short, looping animated images Search all GIF Projects. Follow GIF Following GIF Unfollow GIF — Logo Animation Collection. Turn your MPEG-4 movies into sleek animated GIF's in no time. GIF'ted will analyze your source movie's colours to make the best looking GIF's ever. Or use a classic palette, for example from Gameboy or SNES, for wacky and fun results. You can also trim and crop the output GIF to fit your needs.Load. A simple gif maker for creating animated gifs from videos. Ever wonder how to make a gif? Just upload your gif or video or enter the url to the video and use our video to gif tool to turn your video into an animated gif. Turn youtube videos into gifs using our youtube to gif tool. Turn Facebook videos into gifs using our facebook to gif tool.
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Abstract
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Photo-realistic visualization and animation of expressive human faces have been a long standing challenge. 3D face modeling methods provide parametric control but generates unrealistic images, on the other hand, generative 2D models like GANs (Generative Adversarial Networks) output photo-realistic face images, but lack explicit control. Recent methods gain partial control, either by attempting to disentangle different factors in an unsupervised manner, or by adding control post hoc to a pre-trained model. Unconditional GANs, however, may entangle factors that are hard to undo later. We condition our generative model on pre-defined control parameters to encourage disentanglement in the generation process. Specifically, we condition StyleGAN2 on FLAME, a generative 3D face model. While conditioning on FLAME parameters yields unsatisfactory results, we find that conditioning on rendered FLAME geometry and photometric details works well. This gives us a generative 2D face model named GIF (Generative Interpretable Faces) that offers FLAME's parametric control. Here, interpretable refers to the semantic meaning of different parameters. Given FLAME parameters for shape, pose, expressions, parameters for appearance, lighting, and an additional style vector, GIF outputs photo-realistic face images. We perform an AMT based perceptual study to quantitatively and qualitatively evaluate how well GIF follows its conditioning. The code, data, and trained model are publicly available for research purposes.
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