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tricks to assist the training of GAN [15,32,34], and using GAN to solve specific problems. GAN is widely used in many fields, and there are many impressive works on different tasks. For image Synthesis, there are LapGAN [10], DCGAN [32] and etc. For image-to-image translation, there are pix2pix [17], cycleGAN [48], etc. Hamburger paragraph writing
To the best of our knowledge, this is the largest dataset for text effects transfer as far. Based on this dataset, we propose a baseline approach named Text Effects Transfer GAN (TET-GAN), which supports the transfer of all 152 styles in one model and can efficiently extend to new styles.

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The pix2pix model works by training on pairs of images such as building facade labels to building facades, and then attempts to generate the corresponding output image from any input image you give it. The idea is straight from the pix2pix paper, which is a good read.

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Mar 12, 2019 · AI image synthesis has made impressive progress since Generative Adversarial Networks (GANs) were introduced in 2014. GANs were originally only capable of generating small, blurry, black-and-white pictures, but now we can generate high-resolution, realistic and colorful pictures that you can hardly distinguish from real photographs. Here we have summarized for you 5 recently introduced GAN ...

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Dec 28, 2020 · Throughout the book, you’ll learn to implement models from scratch in TensorFlow 2.x, including PixelCNN, VAE, DCGAN, WGAN, pix2pix, and Progressive GAN. By the end of this book, you’ll be well-versed in TensorFlow and be able to implement image generative technologies confidently.

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Mar 29, 2017 · Pix2pix, a new image-generating neural network, is a stunning demonstration of the potential for AI to create fake news and weird-looking cats.

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pix2pix Photo Generator – Browser Game Art , Browser Games , Funny , Indie Games pix2pix Photo Generator is an evolution of the Edges2Cats Photo Generator that we featured a few months ago, but this time instead of cats, it allows you to create photorealistic (or hideously deformed) pictures of humans from your sketches.

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有时候单独使用GAN loss效果好,有时候与L1 loss配合起来效果好。在pix2pix中,作者就是把L1 loss 和GAN loss相结合使用,因为作者认为L1 loss 可以恢复图像的低频部分,而GAN loss可以恢复图像的高频部分。文章在实验部分也给出了相应的证明,如下所示:

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pix2pix GAN in TensorFlow 2.0. ... firstly a general overview of what image to image translation is and how Pix2Pix fits into that landscape; the maths behind how the loss function is defined, optimised, and how that feeds into decisions made about the network architecture; and the results from training on two datasets - the segmented facades ...

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Mar 17, 2018 · 쉽게 씌어진 gan mar 17 2018. 이 글은 마이크로소프트웨어 391호 인공지능의 체크포인트(the checkpoint of ai)에 ‘쉽게 쓰이는 gan’이라는 제목으로 기고된 글입니다.

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Jun 29, 2018 · Pix2Pix(Image-to-Image Translation with Conditional Adversarial Networks, Pix2Pix 논문 설명) 07 Apr 2019 GAN의 개선 모델들(catGAN, Semi-supervised GAN, LSGAN, WGAN, WGAN_GP, DRAGAN, EBGAN, BEGAN, ACGAN, infoGAN), GAN의 개선 모델 설명 20 Mar 2019

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