{"id":177225,"date":"2024-01-21T11:01:09","date_gmt":"2024-01-21T10:01:09","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=177225"},"modified":"2024-01-21T11:27:34","modified_gmt":"2024-01-21T10:27:34","slug":"attgan-a-tool-for-modifying-facial-attributes","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes","title":{"rendered":"AttGAN: A tool for modifying facial attributes"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"177225\" class=\"elementor elementor-177225\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-999771a e-flex e-con-boxed e-con\" data-id=\"999771a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f752667 elementor-widget elementor-widget-heading\" data-id=\"f752667\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Facial Attribute Editing refers to the set of methods used to modify one or more attributes of a given face. Before the advent of Deep Learning, this task was tedious, as it was carried out by hand, pixel by pixel. Recently, however, new algorithms have been developed to automate this task. Here, we take a closer look at the AttGAN model, one of these neural network-based algorithms. This algorithm takes as parameters the face we want to modify and a binary attribute vector, and returns the modified face with the desired attributes. Examples of how it works are shown below: <\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7729461 elementor-widget elementor-widget-heading\" data-id=\"7729461\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">1- AttGAN architecture<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb69c29 elementor-widget elementor-widget-text-editor\" data-id=\"cb69c29\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>To obtain a modified face consistent with the original, the model was built to follow 3 rules.<\/p><ol><li>Firstly, the new face must resemble the basic one (excluding attributes).<\/li><li>Secondly, it must also be visually realistic, i.e. the attributes created must respect size and position constraints.<\/li><li>Finally, it must have the required attributes. The <strong>AttGAN architecture<\/strong> can therefore be broken down into 3 main parts.<\/li><\/ol><p>Firstly,<strong> unsupervised learning<\/strong> by reconstruction in latent space is used to preserve non-attribute face details. This task is performed by an Auto Encoder. If you&#8217;d like to know more about how an <strong>Auto Encoder<\/strong> works, an article on the subject is available on the blog.<\/p><p>The Decoder part of this Auto Encoder is then used to<a href=\"https:\/\/datascientest.com\/en\/edit-your-photos-at-will-with-drag-your-gan\"> train a Generative Adversarial Network (GAN)<\/a> to obtain a visually realistic modified face. Similarly, if you&#8217;d like to <a href=\"https:\/\/datascientest.com\/en\/gan-machine-learning-putting-fictitious-faces-into-practice\">find out more about GAN, there&#8217;s also an article available on our blog.<\/a><\/p><p>Finally, to check that the new face obtained does indeed possess the new attributes requested, a classification constraint is applied to the generated image and the attributes detected are compared with the attributes requested.<\/p><p>This architecture can be illustrated with the image below, which shows an iteration of <strong>AttGAN training:<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4bc431e elementor-widget elementor-widget-image\" data-id=\"4bc431e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/08\/unnamed-3.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e7b4002 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"e7b4002\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/deep-learning-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover the Deep Learning course<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-774173e elementor-widget elementor-widget-text-editor\" data-id=\"774173e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In this diagram, the image on the left is the original image and vector a contains its attributes (woman, young, brunette, &#8230;). Vector b, on the other hand, designates the desired attribute vector (woman, young, blonde, &#8230;).<\/p><p>The<strong> Auto Encoder<\/strong> is trained to minimize the Loss reconstruction, which is simply the norm of the difference between the original image and the reconstructed image. As far as the GAN is concerned, its aim is to generate a new image with the desired attributes b and to trick the D discriminator so that this image strongly resembles the original image. Constraint classification is simply achieved by detecting the attribute vector whose loss function is a <strong>Cross Entropy.<\/strong><\/p><p>So, to put it simply, during its training phase, <strong>AttGAN<\/strong> will learn what each attribute corresponds to, based on its training database.<\/p><p>Let&#8217;s now take a look at what happens during the Test phase, <a href=\"https:\/\/datascientest.com\/en\/facial-recognition-how-it-works-2\">when we want to modify a face:<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-092d8e6 elementor-widget elementor-widget-image\" data-id=\"092d8e6\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/08\/unnamed-4.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a7da0db elementor-widget elementor-widget-text-editor\" data-id=\"a7da0db\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Once the Decoder\/Generator part is trained, to transform an image, we use the Encoder part to encode the image in latent space while specifying the desired new attributes, and the Generator simply generates a new image thanks to all the rules it has learned during its training phase.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ef56ea8 elementor-widget elementor-widget-heading\" data-id=\"ef56ea8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">2 - Database used to train AttGAN<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-705c7c7 elementor-widget elementor-widget-text-editor\" data-id=\"705c7c7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The database used by the creators of this algorithm is CelebA. It lists over 200,000 faces of 10,177 different celebrities, annotated with 40 attributes in the form of binary vectors that specify whether the attribute is present (1) or not (0). These 40 attributes can range from simple hair color to the presence or absence of make-up on the face.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-04658d3 elementor-widget elementor-widget-image\" data-id=\"04658d3\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/08\/unnamed-5.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">CelebA database<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eac8c73 elementor-widget elementor-widget-text-editor\" data-id=\"eac8c73\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>To speed up training of the algorithm, only 13 of these 40 attributes were used: bald, bangs, black hair, blond hair, chestnut hair, thick eyebrows, glasses, male, open mouth, moustache, beard, pale skin, young.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d1eee47 elementor-widget elementor-widget-heading\" data-id=\"d1eee47\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">3- Results and comparison with other attribute editing algorithms<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-31998e1 elementor-widget elementor-widget-text-editor\" data-id=\"31998e1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Here are the results obtained after training the neural network over 50 epochs, which corresponds roughly to one day:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-592e157 elementor-widget elementor-widget-image\" data-id=\"592e157\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/08\/unnamed.jpeg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ac2504c elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"ac2504c\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/deep-learning-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover the Deep Learning course<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0f7618c elementor-widget elementor-widget-text-editor\" data-id=\"0f7618c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The first two images in each line represent the original image and the image reconstructed by the <strong>Auto Encoder,<\/strong> and the following images are the images generated by modifying just one attribute at a time out of the 13 in the order stated above.<\/p><p>Firstly, we can see that the<strong> faces generated are consistent with the original faces.<\/strong> <br \/>In addition, the requested attributes are found, even if some are difficult to generate. <br \/>Finally, the attributes generated are visually realistic.<\/p><p>This is due to the 3 rules we imposed in the architecture during training.<\/p><p>However, some attributes appear more natural than others. This is the case with mouth opening and hair color. Conversely, the attributes &#8220;bald&#8221; and &#8220;glasses&#8221; are more difficult to achieve. We can therefore conclude that the modifications that consist in adding or removing material are those that have been trained the least.<\/p><p>Let&#8217;s now compare this model with other <a href=\"https:\/\/datascientest.com\/en\/convolutional-neural-network-everything-you-need-to-know\">types of neural networks<\/a> performing the same task:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a991f9f elementor-widget elementor-widget-image\" data-id=\"a991f9f\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/08\/unnamed-6.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f082192 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"f082192\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/deep-learning-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover the Deep Learning course<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7c243fb elementor-widget elementor-widget-text-editor\" data-id=\"7c243fb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Here, we compare the <strong>AttGAN<\/strong> with two other models whose architecture is a little different: VAE \/ GAN and IcGAN. We&#8217;re interested in the reconstruction of the original image, as well as a few attributes for each model. We note that <strong>AttGAN<\/strong> is the only model <strong>capable of reconstructing the original face almost perfectly, whereas the others modify it slightly.<\/strong><\/p><p>We can therefore deduce that, even if the other attribute editing models do carry out the modification, they don&#8217;t respect the basic principle of preserving the details of the face outside the attribute.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c8d6da3 elementor-widget elementor-widget-heading\" data-id=\"c8d6da3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">4- Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c4acaee elementor-widget elementor-widget-text-editor\" data-id=\"c4acaee\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In this article, we looked in detail at <strong>AttGAN<\/strong>, a neural network model for editing attributes on faces. We described its 3-part architecture, which enables us to obtain images that are highly consistent with the original ones. We then compared this model with other neural networks also used for attribute editing, and found it to be the most successful AttGAN yet.<\/p><p>If you enjoyed this article and would like to discover other Deep Learning methods, I invite you to join our <a href=\"https:\/\/datascientest.com\/en\/deep-learning-python-unveiling-the-basics\">Deep Learning expert course.<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8c99750 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"8c99750\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/deep-learning-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover the Deep Learning course<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Facial Attribute Editing refers to the set of methods used to modify one or more attributes of a given face. Before the advent of Deep Learning, this task was tedious, as it was carried out by hand, pixel by pixel. Recently, however, new algorithms have been developed to automate this task. Here, we take a [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":177227,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2409],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AttGAN: A tool for modifying facial attributes<\/title>\n<meta name=\"description\" content=\"Transform facial attributes effortlessly with AttGAN, a powerful tool for modifying and enhancing facial features. Explore the capabilities of Attribute Guided Generative Adversarial Networks (AttGAN) and learn how it revolutionizes the way facial attributes can be manipulated, providing innovative solutions in the realm of image synthesis and facial transformation.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AttGAN: A tool for modifying facial attributes\" \/>\n<meta property=\"og:description\" content=\"Facial Attribute Editing refers to the set of methods used to modify one or more attributes of a given face. Before the advent of Deep Learning, this task\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes\" \/>\n<meta property=\"og:site_name\" content=\"Data Science Courses | DataScientest\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataScientestEN\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-21T10:01:09+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-21T10:27:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/en\/files\/2024\/01\/attGAN.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1025\" \/>\n\t<meta property=\"og:image:height\" content=\"563\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Melanie\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:site\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Melanie\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes#article\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes\"},\"author\":{\"name\":\"Melanie\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d\"},\"headline\":\"AttGAN: A tool for modifying facial attributes\",\"datePublished\":\"2024-01-21T10:01:09+00:00\",\"dateModified\":\"2024-01-21T10:27:34+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes\"},\"wordCount\":990,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"articleSection\":[\"Machine Learning\"],\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes#respond\"]}],\"copyrightYear\":\"2024\",\"copyrightHolder\":{\"@id\":\"https:\/\/datascientest.com\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes\",\"url\":\"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes\",\"name\":\"AttGAN: A tool for modifying facial attributes\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/#website\"},\"datePublished\":\"2024-01-21T10:01:09+00:00\",\"dateModified\":\"2024-01-21T10:27:34+00:00\",\"description\":\"Transform facial attributes effortlessly with AttGAN, a powerful tool for modifying and enhancing facial features. Explore the capabilities of Attribute Guided Generative Adversarial Networks (AttGAN) and learn how it revolutionizes the way facial attributes can be manipulated, providing innovative solutions in the realm of image synthesis and facial transformation.\",\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/en\/#website\",\"url\":\"https:\/\/datascientest.com\/en\/\",\"name\":\"Data Science Courses | DataScientest\",\"description\":\"Leader in Data Science Courses\",\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/en\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/datascientest.com\/en\/#organization\",\"name\":\"DataScientest\",\"url\":\"https:\/\/datascientest.com\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png\",\"contentUrl\":\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png\",\"width\":301,\"height\":301,\"caption\":\"DataScientest\"},\"image\":{\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/DataScientestEN\",\"https:\/\/twitter.com\/DataScientest__\",\"https:\/\/www.linkedin.com\/school\/datascientest\/mycompany\/\",\"https:\/\/www.tiktok.com\/@datascientest\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d\",\"name\":\"Melanie\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g\",\"caption\":\"Melanie\"},\"url\":\"https:\/\/datascientest.com\/en\/author\/melaniekrause\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"AttGAN: A tool for modifying facial attributes","description":"Transform facial attributes effortlessly with AttGAN, a powerful tool for modifying and enhancing facial features. Explore the capabilities of Attribute Guided Generative Adversarial Networks (AttGAN) and learn how it revolutionizes the way facial attributes can be manipulated, providing innovative solutions in the realm of image synthesis and facial transformation.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes","og_locale":"en_GB","og_type":"article","og_title":"AttGAN: A tool for modifying facial attributes","og_description":"Facial Attribute Editing refers to the set of methods used to modify one or more attributes of a given face. Before the advent of Deep Learning, this task","og_url":"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes","og_site_name":"Data Science Courses | DataScientest","article_publisher":"https:\/\/www.facebook.com\/DataScientestEN","article_published_time":"2024-01-21T10:01:09+00:00","article_modified_time":"2024-01-21T10:27:34+00:00","og_image":[{"width":1025,"height":563,"url":"https:\/\/datascientest.com\/en\/files\/2024\/01\/attGAN.webp","type":"image\/webp"}],"author":"Melanie","twitter_card":"summary_large_image","twitter_creator":"@DataScientest__","twitter_site":"@DataScientest__","twitter_misc":{"Written by":"Melanie","Estimated reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes#article","isPartOf":{"@id":"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes"},"author":{"name":"Melanie","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d"},"headline":"AttGAN: A tool for modifying facial attributes","datePublished":"2024-01-21T10:01:09+00:00","dateModified":"2024-01-21T10:27:34+00:00","mainEntityOfPage":{"@id":"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes"},"wordCount":990,"commentCount":0,"publisher":{"@id":"https:\/\/datascientest.com\/en\/#organization"},"articleSection":["Machine Learning"],"inLanguage":"en-GB","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes#respond"]}],"copyrightYear":"2024","copyrightHolder":{"@id":"https:\/\/datascientest.com\/#organization"}},{"@type":"WebPage","@id":"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes","url":"https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes","name":"AttGAN: A tool for modifying facial attributes","isPartOf":{"@id":"https:\/\/datascientest.com\/en\/#website"},"datePublished":"2024-01-21T10:01:09+00:00","dateModified":"2024-01-21T10:27:34+00:00","description":"Transform facial attributes effortlessly with AttGAN, a powerful tool for modifying and enhancing facial features. Explore the capabilities of Attribute Guided Generative Adversarial Networks (AttGAN) and learn how it revolutionizes the way facial attributes can be manipulated, providing innovative solutions in the realm of image synthesis and facial transformation.","inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/datascientest.com\/en\/attgan-a-tool-for-modifying-facial-attributes"]}]},{"@type":"WebSite","@id":"https:\/\/datascientest.com\/en\/#website","url":"https:\/\/datascientest.com\/en\/","name":"Data Science Courses | DataScientest","description":"Leader in Data Science Courses","publisher":{"@id":"https:\/\/datascientest.com\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/datascientest.com\/en\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/datascientest.com\/en\/#organization","name":"DataScientest","url":"https:\/\/datascientest.com\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/","url":"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png","contentUrl":"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png","width":301,"height":301,"caption":"DataScientest"},"image":{"@id":"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/DataScientestEN","https:\/\/twitter.com\/DataScientest__","https:\/\/www.linkedin.com\/school\/datascientest\/mycompany\/","https:\/\/www.tiktok.com\/@datascientest"]},{"@type":"Person","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/19d5f7ade9407eb69af3bf6d1ae1731d","name":"Melanie","image":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/8d3d660a0698de06f13ecf4823519da1?s=96&d=mm&r=g","caption":"Melanie"},"url":"https:\/\/datascientest.com\/en\/author\/melaniekrause"}]}},"_links":{"self":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts\/177225"}],"collection":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/users\/67"}],"replies":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/comments?post=177225"}],"version-history":[{"count":0,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts\/177225\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/media\/177227"}],"wp:attachment":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/media?parent=177225"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/categories?post=177225"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/tags?post=177225"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}