Generative Ai Art

Author : Joanna Zylinska
Publisher :
ISBN 13 : 9781785420856
Total Pages : 178 pages
Book Rating : 4.52/5 ( download)

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Download or read book AI Art written by Joanna Zylinska and published by . This book was released on 2020-07-15 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: In AI Art, Joanna Zylinska cuts through the smoke and mirrors surrounding the current narratives of computation, robotics and Artificial Intelligence. Offering a critique of the political underpinnings of AI and its dominant aesthetics, this book raises broader questions about the conditions of art making, creativity and labour today.

Author : Hai-Jew, Shalin
Publisher : IGI Global
ISBN 13 :
Total Pages : 321 pages
Book Rating : 4.12/5 ( download)

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Download or read book Making Art With Generative AI Tools written by Hai-Jew, Shalin and published by IGI Global. This book was released on 2024-04-01 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the dynamic realm of generative artificial Intelligence (AI), the fusion of human creativity and machine intelligence has created a vibrant ecosystem of collaborative artmaking. However, this transformative process brings forth a myriad of concerns, ranging from ethical considerations and the need for originality to navigating the legal complexities surrounding intellectual property. As more and more online communities appear around the use of AI to aid in the creation of images, there arises a pressing need for a comprehensive guide that not only dissects the intricacies of artmaking with generative AI tools but also offers practical solutions to the evolving dilemmas faced by artists, researchers, and technologists. Making Art With Generative AI Tools emerges as an exploration of the challenges posed by this intersection of human expression and artificial intelligence. Artists engaging with generative AI find themselves grappling with issues of authenticity, social toxicity, and the commercial viability of their creations. From avoiding stereotypical visuals to ensuring proper crediting, the realm of generative AI is rife with these complexities. Furthermore, the blurred lines between human and machine authorship necessitate a deeper exploration of how these innovative tools impact creativity, representation, and the very fabric of the art world.

Author : Arthur I. Miller
Publisher : MIT Press
ISBN 13 : 0262539624
Total Pages : 429 pages
Book Rating : 4.23/5 ( download)

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Download or read book The Artist in the Machine written by Arthur I. Miller and published by MIT Press. This book was released on 2020-11-10 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans. Today's computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative—or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover the key problem.” He talks to people on the cutting edge of artificial intelligence, encountering computers that mimic the brain and machines that have defeated champions in chess, Jeopardy!, and Go. In the central part of the book, Miller explores the riches of computer-created art, introducing us to artists and computer scientists who have, among much else, unleashed an artificial neural network to create a nightmarish, multi-eyed dog-cat; taught AI to imagine; developed a robot that paints; created algorithms for poetry; and produced the world's first computer-composed musical, Beyond the Fence, staged by Android Lloyd Webber and friends. But, Miller writes, in order to be truly creative, machines will need to step into the world. He probes the nature of consciousness and speaks to researchers trying to develop emotions and consciousness in computers. Miller argues that computers can already be as creative as humans—and someday will surpass us. But this is not a dystopian account; Miller celebrates the creative possibilities of artificial intelligence in art, music, and literature.

Author : Jan Svenungsson
Publisher : transcript Verlag
ISBN 13 : 3839474728
Total Pages : 121 pages
Book Rating : 4.23/5 ( download)

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Download or read book Art Intelligence written by Jan Svenungsson and published by transcript Verlag. This book was released on 2024-06-30 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artists always react to the times in which they live. They may celebrate them or criticize them, often trying to change them. But this is the first time in history that technology controlled by private companies is offering to replace the work of writers, musicians, illustrators and visual artists. What impact will generative AI have on how we create art and how we understand what art is for? How will it affect the role of the artist in the future and the conditions under which artists will work? Jan Svenungsson tackles these questions, investigating what AI might do for art, and what it might change, circling the core issue of what it is in human art-making that cannot be replaced.

Author : Oliver Theobald
Publisher : Packt Publishing Ltd
ISBN 13 : 1835880991
Total Pages : 83 pages
Book Rating : 4.99/5 ( download)

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Download or read book Generative AI Art written by Oliver Theobald and published by Packt Publishing Ltd. This book was released on 2024 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Kevin Ashley
Publisher :
ISBN 13 :
Total Pages : 186 pages
Book Rating : 4.08/5 ( download)

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Download or read book Make Art with Artificial Intelligence written by Kevin Ashley and published by . This book was released on 2021-11-09 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: MAKE ART with Artificial Intelligence A guide on practical artificial intelligence for drawing, art, illustration, and design - for everyone interested in creativity, art, and technology. The book has hundreds of original illustrations made or augmented with AI, 20+ online and video tutorials, 35+ Python notebooks, a GitHub repository and a blockchain art gallery. Written and illustrated by Kevin Ashley, a Microsoft developer hall of fame engineer, and an author of books and courses on artificial intelligence. Think of this book as v3.0 of your drawing class manual on how to sketch, draw faces, emotions, body poses, landscapes, apply light, color, style, emotion, expressions, perspective, generate animations, speech and more with artificial intelligence. All artwork from this book is created or augmented with machine learning and available in online NFT gallery, as well as tutorials and practical examples. The impact of this book in data science community inspired a group of Microsoft engineers and data scientists to implement a project they called Azure Picasso to streamline the path from a conceptual artwork, enhanced with artificial intelligence to publishing art in online galleries. FROM REVIEWS This is similar to the best lecture classes I had in college where the professor talked in class about the concepts and fundamentals but then gave us homework that would let us experiment and try out the concepts hands-on. As an artist who has 30 years of artwork looking to share, I love this book because it's approachable to the novice and useful to the expert. EDITIONS Beautiful Paperback, 8x10, color edition, more illustrations than the e-book, reads like an art book, beautiful print and high-quality paper. eBook - easy to read on phones, tablets and online readers, reflowing text, great for practical tutorials, as the book has many links to tutorials. CONTENTS Getting Started (History of Art and AI - Drawing - Sketching - Action and Poses - Landscapes and Scenery - Animation - Selling your Art) Creative Tools (Traditional tools - Digital tools - AI Tools - Python - Notebooks - Practice Studies). Neural Networks for Art (Neurons - Neural networks - Supervised learning - Unsupervised learning - Generative Adversarial Networks - Machine Learning Models and Training - Reinforcement learning - Practice Studies) Drawing and Sketching with AI (Sketching - Improving Sketches with AI - Childhood Drawings - Creativity - Inking - Shading and Light - Coloring - Practice Studies) Faces and Facial Expressions (How AI recognizes human faces - Facial features - Emotions - 3D Faces - Cartoons and Caricature - Anime and Manga - Generating Faces with AI) Pose and Actions with AI (Action with AI - Keypoints - Pose Estimation - Drawing Human Body - Human Pose Datasets - Perspective and Depth) Landscapes and Scenery (Landscapes - Generating Landscapes - AI Models and Methods for Landscapes - Practice Studies) Style and Content (Style and Style Transfer in Art and AI - Generative Adversarial Networks - Creative Style) Animation with AI (History of Animation - 12 Principles of Animation - Using AI for Animation - Animating Speech, Lips and Faces) How to Sell your Art with Blockchain and NFT (Why Blockchain - Smart Contracts and NFTs - Creating a Crypto Wallet - Creating your Gallery - Listing for Sale - Getting Paid) The book comes with online tutorials, including assets, resources and notebooks for artists, data scientists or engineers. With basic Python you can create stunning works of art, but the knowledge of Python is not required. Enjoy this unique and insightful book!

Author : Eric Barker, 1st
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.22/5 ( download)

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Download or read book Generative AI Art Insights written by Eric Barker, 1st and published by . This book was released on 2023-09-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Generative AI Art Insights: From Pixels to Masterpieces" is an enlightening journey into the world where art meets cutting-edge technology. Written with artists, technologists, and enthusiasts in mind, this comprehensive guide aims to demystify the exciting intersection of artificial intelligence and artistry.The book commences with an engaging "Introduction: Where Algorithms Become Masterpieces," setting the thematic landscape for what lies ahead. Subsequent chapters like "History & Foundations" and "Deep Dive: Generative AI Explained" serve as educational pillars, combining the rich past of art with the transformative technology of generative AI, enabling readers to grasp how far we've come and where we're heading.In "The Spectrum of AI Art Styles," the narrative expands to celebrate the diverse art forms AI has facilitated. This serves as a prelude to the visually rich "Visual Gallery," which showcases full-page spreads of groundbreaking AI artworks, allowing readers to absorb the magnificence of human-machine co-creation up close."Business in the Age of AI Art" provides an in-depth look into the evolving marketplace for AI-generated art, offering key insights into legality, copyright, and commercial opportunities. For those eager to dive hands-on, "Practical Tutorials" supplies step-by-step guidance to create your own AI art, while "The Philosophical Canvas" offers a contemplative space to explore the ethical and existential questions that the AI-art synthesis inevitably brings up.The penultimate section, "Future-Proofing and Staying Relevant," offers vital advice on how artists and technologists can adapt and evolve in this dynamic arena. Finally, "Conclusion: Beyond the Horizon" looks at what the future may hold, offering a visionary glimpse of the possibilities that lie ahead.Whether you're an artist captivated by the potential of AI, a technologist intrigued by the realm of art, or a layperson eager to understand this burgeoning field, "Generative AI Art Insights: From Pixels to Masterpieces" is your definitive guide to the world where art and technology innovate in harmony.

Author : Lev Manovich
Publisher : MIT Press
ISBN 13 : 0262360632
Total Pages : 332 pages
Book Rating : 4.30/5 ( download)

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Download or read book Cultural Analytics written by Lev Manovich and published by MIT Press. This book was released on 2020-10-20 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Soundcloud, the content of four billion Pinterest boards? In Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data. Drawing on more than a decade of research and projects from his own lab, Manovich offers a gentle, nontechnical introduction to the core ideas of data analytics and discusses the ways that our society uses data and algorithms.

Author : Matt Pearson
Publisher : Simon and Schuster
ISBN 13 : 1638352437
Total Pages : 352 pages
Book Rating : 4.33/5 ( download)

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Download or read book Generative Art written by Matt Pearson and published by Simon and Schuster. This book was released on 2011-06-29 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Generative Art presents both the technique and the beauty of algorithmic art. The book includes high-quality examples of generative art, along with the specific programmatic steps author and artist Matt Pearson followed to create each unique piece using the Processing programming language. About the Technology Artists have always explored new media, and computer-based artists are no exception. Generative art, a technique where the artist creates print or onscreen images by using computer algorithms, finds the artistic intersection of programming, computer graphics, and individual expression. The book includes a tutorial on Processing, an open source programming language and environment for people who want to create images, animations, and interactions. About the Book Generative Art presents both the techniques and the beauty of algorithmic art. In it, you'll find dozens of high-quality examples of generative art, along with the specific steps the author followed to create each unique piece using the Processing programming language. The book includes concise tutorials for each of the technical components required to create the book's images, and it offers countless suggestions for how you can combine and reuse the various techniques to create your own works. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside The principles of algorithmic art A Processing language tutorial Using organic, pseudo-random, emergent, and fractal processes ========================================​========= Table of Contents Part 1 Creative Coding Generative Art: In Theory and Practice Processing: A Programming Language for ArtistsPart 2 Randomness and Noise The Wrong Way to Draw A Line The Wrong Way to Draw a Circle Adding Dimensions Part 3 Complexity Emergence Autonomy Fractals

Author : David Foster
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492041890
Total Pages : 360 pages
Book Rating : 4.94/5 ( download)

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Download or read book Generative Deep Learning written by David Foster and published by "O'Reilly Media, Inc.". This book was released on 2019-06-28 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN