圖片來源: Image-to-Image Translation with Conditional Adversarial Networks官網
透過特定的圖像資料集來訓練,製作一個自動依據邊緣形狀形成特定內容的圖像生成AI。
應用面:
The paper regarding on this investigation was written in 2016 by four scholars at UC Berkeley where it looks at the use of conditional adversarial network as the solution to image-to-image translation problems. Before going into the application of pix2pix, I want go over a little about what “conditional adversarial nets” is.
Conference: 2017 IEEE Conference on Computer Vision and Pattern Recognition CVPR
By the end of this article, you will have a comprehensive understanding of image-to-image translation with conditional adversarial networks and how to apply it in practice.
This article aims to explain the key ideas behind conditional adversarial networks and provide insights into their implementation and training process.
Image-to-image translation is the controlled conversion of a given source image to a target image. Examples include translating a photograph of a landscape from day to night or translating a segmented image to a photograph, synthesizing photos from label maps, reconstructing objects from edge maps, and colorizing images, among other tasks.
The Pix2Pix Generative Adversarial Network, or GAN, is an approach to training a deep convolutional neural network for image-to-image translation tasks.
圖片來源: Fy Studio官網
Fy Studio是一個AI在線藝術工具,它允許用戶通過輸入他們想要的藝術作品的描述,將他們的想法變成獨特的藝術並提供各種獨特的藝術品和設計作品,以反映用戶的個人風格和品味。
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圖片來源: Lexica官網
Lexica可將用戶提供的文字轉換為圖像。網站支持多種風格和設置,並提供高品質的圖像輸出,讓用戶輕鬆創作出獨特的藝術作品。
點擊人數: 475 +
圖片來源: Magic Studio官網
Magic Studio是一個多功能的圖片編輯AI工具,可以快速合成人物圖像或商品的情境照,讓使用者的產品更有競爭力。
點擊人數: 232 +
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