Generative Adversarial Networks for Image Generation is popular PDF and ePub book, written by Xudong Mao in 2021-03-21, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Generative Adversarial Networks for Image Generation can be Read Online from any device for your convenience.
Generative Adversarial Networks for Image Generation Book PDF Summary
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.
Detail Book of Generative Adversarial Networks for Image Generation PDF
- Author : Xudong Mao
- Release : 21 March 2021
- Publisher : Springer Nature
- ISBN : 9789813360488
- Genre : Computers
- Total Page : 77 pages
- Language : English
- PDF File Size : 14,7 Mb
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