Generative Adversarial Networks for Image Generation
暫譯: 生成對抗網絡於影像生成的應用

Mao, Xudong, Li, Qing

Generative Adversarial Networks for Image Generation
  • 出版商: Springer
  • 出版日期: 2021-02-18
  • 售價: $6,220
  • 貴賓價: 9.5 折 $5,909
  • 語言: 英文
  • 頁數: 77
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 981336047X
  • ISBN-13: 9789813360471

    • 海外代購書籍(需單獨結帳)

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商品描述

Generative adversarial networks (GANs) were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014, and were to referred by Yann Lecun (Facebook's AI research director) as "the most interesting idea in the last 10 years in ML." GANs' potential is huge, because they can learn to mimic any distribution of data, which means they can be taught to create worlds similar to our own in any domain: images, music, speech, prose. They are robot artists in a sense, and their output is remarkable - poignant even. In 2018, Christie's sold a portrait that had been generated by a GAN for $432,000.

Although image generation has been challenging, GAN image generation has proved to be very successful and impressive. However, there are two remaining challenges for GAN image generation: the quality of the generated image and the training stability. This book first provides an overview of GANs, and then discusses the task of image generation and the details of GAN image generation. It also investigates a number of approaches to address the two remaining challenges for GAN image generation. Additionally, it explores three promising applications of GANs, including image-to-image translation, unsupervised domain adaptation and GANs for security. This book appeals to students and researchers who are interested in GANs, image generation and general machine learning and computer vision.

商品描述(中文翻譯)

生成對抗網路（Generative adversarial networks, GANs）是由 Ian Goodfellow 及其合著者，包括 Yoshua Bengio，在 2014 年提出的，並被 Yann Lecun（Facebook 的 AI 研究主任）稱為「過去 10 年來機器學習中最有趣的想法。」GAN 的潛力巨大，因為它們可以學習模仿任何數據的分佈，這意味著它們可以被教導在任何領域創造類似我們自己世界的事物：圖像、音樂、語音、散文。從某種意義上說，它們是機器人藝術家，其產出令人驚豔，甚至感人。2018 年，佳士得拍賣了一幅由 GAN 生成的肖像，售價為 432,000 美元。

儘管圖像生成一直具有挑戰性，但 GAN 圖像生成已被證明非常成功且令人印象深刻。然而，GAN 圖像生成仍面臨兩個挑戰：生成圖像的質量和訓練的穩定性。本書首先提供 GAN 的概述，然後討論圖像生成的任務及 GAN 圖像生成的細節。它還探討了幾種解決 GAN 圖像生成兩個挑戰的方法。此外，本書還探索了 GAN 的三個有前景的應用，包括圖像到圖像的轉換、無監督領域適應以及用於安全的 GAN。本書適合對 GAN、圖像生成以及一般機器學習和計算機視覺感興趣的學生和研究人員。

作者簡介

 

Xudong Mao is currently a Postdoctoral Fellow at the Hong Kong Polytechnic University. His research interests are in the areas of computer vision and deep learning, especially generative adversarial networks and unsupervised learning. His research work has been published in top-ranked journals and conferences in the area, such as TPAMI, ICCV, and IJCAI. Dr. Mao's paper 'Least squares generative adversarial networks' has, to date (November 2020), been cited more than 1700 times since it was published in 2017 at the ICCV conference.

Qing Li is currently a Chair Professor at the Hong Kong Polytechnic University. He also serves/served as a Guest Professor of Zhejiang University, an Adjunct Professor of the University of Science and Technology of China, and a Visiting Professor at the Wuhan University and the Hunan University. His research interests include database modeling, multimedia retrieval and management, social media computing and e-learning systems. Dr. Li has published over 400 papers in technical journals and international conferences in these areas, and is actively involved in the research community by serving as a journal reviewer, program committee chair/co-chair, and as an organizer/co-organizer of numerous international conferences. Currently he is the Chairman of the Hong Kong Web Society, a councillor of the Database Society of Chinese Computer Federation (CCF), a member of the CCF Big Data Experts Committee, and a member of the international WISE Society's steering committee.

 

作者簡介(中文翻譯)

毛旭東目前是香港理工大學的博士後研究員。他的研究興趣包括計算機視覺和深度學習，特別是生成對抗網絡和無監督學習。他的研究成果已發表在該領域的頂級期刊和會議上，如TPAMI、ICCV和IJCAI。毛博士的論文《最小二乘生成對抗網絡》自2017年在ICCV會議上發表以來（截至2020年11月），已被引用超過1700次。

李青目前是香港理工大學的講座教授。他同時擔任/曾擔任浙江大學的客座教授、中國科學技術大學的兼任教授，以及武漢大學和湖南大學的訪問教授。他的研究興趣包括數據庫建模、多媒體檢索與管理、社交媒體計算和電子學習系統。李博士在這些領域已發表超過400篇技術期刊和國際會議論文，並積極參與研究社群，擔任期刊審稿人、程序委員會主席/聯合主席，以及多個國際會議的組織者/聯合組織者。目前，他是香港網絡協會的主席、中國計算機學會（CCF）數據庫學會的理事、CCF大數據專家委員會的成員，以及國際WISE協會的指導委員會成員。

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