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: AutoDraw官網
AutoDraw適用於創建各種類型的圖像,包括標誌、漫畫、手繪圖、簡單圖示等等,當使用者繪製簡易圖形,系統會基於其繪畫的形狀提供一系列建議圖像,用戶可以從這些圖像中選擇所需的圖像。
點擊人數: 7891 +
圖片來源: Cactus Interior官網
Cactus Interior是一個生成室內設計的AI工具。使用者先提供自己的屋內照片,再輸入喜歡的風格或是詳細的描述,即可生成該室內風格的圖像,協助使用者應用在室內設計上。
點擊人數: 1922 +
圖片來源: DALL-E2官網
DALL-E2是OpenAI所開發的圖像生成工具,該網站提供了一個使用者介面,讓用戶可以藉由輸入文字、上傳圖像,並生成對應的圖像。
點擊人數: 4800 +
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