Shortcuts
Top of page (Alt+0)
Page content (Alt+9)
Page menu (Alt+8)
Your browser does not support javascript, some WebOpac functionallity will not be available.
.
Default
.
PageMenu
-
Main Menu
-
Simple Search
.
Advanced Search
.
Journal Search
.
Refine Search Results
.
Preferences
.
Search Menu
Simple Search
.
Advanced Search
.
New Items Search
.
Journal Search
.
Refine Search Results
.
Bottom Menu
Help
Italian
.
English
.
German
.
New Item Menu
New Items Search
.
New Items List
.
Links
SISSA Library
.
ICTP library
.
Italian National web catalog (SBN)
.
Trieste University web catalog
.
Udine University web catalog
.
© LIBERO v6.4.1sp220816
Page content
You are here
:
Catalogue Display
Catalogue Display
Generative Adversarial Networks for Image Generation
.
Bookmark this Record
Catalogue Record 51769
.
.
Author info on Wikipedia
.
.
LibraryThing
.
.
Google Books
.
.
Amazon Books
.
Catalogue Information
Catalogue Record 51769
.
Reviews
Catalogue Record 51769
.
British Library
Resolver for RSN-51769
Google Scholar
Resolver for RSN-51769
WorldCat
Resolver for RSN-51769
Catalogo Nazionale SBN
Resolver for RSN-51769
GoogleBooks
Resolver for RSN-51769
ICTP Library
Resolver for RSN-51769
.
Share Link
Jump to link
Catalogue Information
Field name
Details
Dewey Class
006.31
Title
Generative Adversarial Networks for Image Generation ([EBook] /) / by Xudong Mao, Qing Li.
Author
Mao, Xudong
Added Personal Name
Li, Qing
Other name(s)
SpringerLink (Online service)
Edition statement
1st ed. 2021.
Publication
Singapore : : Springer Singapore : : Imprint: Springer, , 2021.
Physical Details
XII, 77 p. 41 illus., 29 illus. in color. : online resource.
ISBN
9789813360488
Summary Note
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. .:
Contents note
Generative Adversarial Networks (GANs) -- GANs for Image Generation -- More Key Applications of GANs -- Conclusions.
Mode of acces to digital resource
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
https://doi.org/10.1007/978-981-33-6048-8
Links to Related Works
Subject References:
Application software
.
Computer and Information Systems Applications
.
Computer vision
.
Machine Learning
.
Authors:
author
.
Li, Qing
.
Mao, Xudong
.
Corporate Authors:
SpringerLink (Online service)
.
Classification:
006.31
.
.
ISBD Display
Catalogue Record 51769
.
Tag Display
Catalogue Record 51769
.
Related Works
Catalogue Record 51769
.
Marc XML
Catalogue Record 51769
.
Add Title to Basket
Catalogue Record 51769
.
Catalogue Information 51769
Beginning of record
.
Catalogue Information 51769
Top of page
.
Download Title
Catalogue Record 51769
Export
This Record
As
Labelled Format
Bibliographic Format
ISBD Format
MARC Format
MARC Binary Format
MARCXML Format
User-Defined Format:
Title
Author
Series
Publication Details
Subject
To
File
Email
Reviews
This item has not been rated.
Add a Review and/or Rating
51769
1
51769
-
2
51769
-
3
51769
-
4
51769
-
5
51769
-
Quick Search
Search for