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: PHOTO AI官網
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圖片來源: FlexClip官網
FlexClip 是一款線上的視頻剪輯軟體，提供了許多好用的模板和素材，只需要選擇你喜歡的風格，更改裡面的內容就可以輕鬆將影片完成。內有AI文字轉影片、AI生成影片腳本、AI圖片生成器和AI自動上字幕功能。
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圖片來源: ClickUp官網
Clickup 是一個非常年輕的軟體與開發團隊，最有趣的地方，就是他們將一個非常 B2B 導向的專案管理軟體，加入像是遊戲般的更新週期，以及營造一個 Clickup 的使用者社群，為我們提供 Road Map、功能願望清單、以及甚至使用者的 Facebook 群組等等。並且快速地串聯甘特圖、聊天室、地圖、Mind Maps、活動狀態等，讓您不需要再多個軟體中來回切換，一次同步快速應用。
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