"In this first non-technical introduction to emerging AI techniques, artist Casey Reas explores what it’s like to make pictures with generative adversarial networks (GANs), specifically deep convolutional generative adversarial networks (DCGANs). This text is imagined as a primer for readers interested in creative applications of AI technologies. Ideally, readers will explore the strategies of this emerging field as outlined, and remix them to suit their desires. We hope to inspire future research and collaboration, and to encourage a rigorous discussion about art in the age of machine intelligence." -- Publisher's website
As Artificial Intelligence (AI) continues to advance and find applications in various industries, an...
Generative AIs are models that, having been trained on large datasets of images, can create original...
Part 1: MAKE-Main TrackInternational audienceIn this paper, we propose and implement a system based ...
This article uses the exhibition “Infinite Skulls”, which happened in Paris in the beginning of 2019...
I set out to explore how artificial intelligence generated artwork compares to human created artwork...
Artificial Intelligence (AI) and art share a common past, where artists employed AI algorithms to ge...
The purpose of this thesis was to explore ways of creating computer art using an activation maximiza...
Applications of Generative Machine Learning techniques such as Generative Adversarial Networks (GANs...
Abstract: Recent advancements in generative artificial intelligence (AI) have made it possible for m...
This theoretical research paper proposes a new approach to image synthesis using a combination of Ge...
The nascent field of what has come to be known as “creative AI” consists of a range of activities at...
We live in a world made up of different objects, people, and environments interacting with each othe...
The article is an in-depth analysis of two leading approaches in the field of generative modeling: g...
In this paper, we propose a divide-and-conquer approach using two generative adversarial networks (G...
This book will explore deep learning and generative models, and their applications in artificial int...
As Artificial Intelligence (AI) continues to advance and find applications in various industries, an...
Generative AIs are models that, having been trained on large datasets of images, can create original...
Part 1: MAKE-Main TrackInternational audienceIn this paper, we propose and implement a system based ...
This article uses the exhibition “Infinite Skulls”, which happened in Paris in the beginning of 2019...
I set out to explore how artificial intelligence generated artwork compares to human created artwork...
Artificial Intelligence (AI) and art share a common past, where artists employed AI algorithms to ge...
The purpose of this thesis was to explore ways of creating computer art using an activation maximiza...
Applications of Generative Machine Learning techniques such as Generative Adversarial Networks (GANs...
Abstract: Recent advancements in generative artificial intelligence (AI) have made it possible for m...
This theoretical research paper proposes a new approach to image synthesis using a combination of Ge...
The nascent field of what has come to be known as “creative AI” consists of a range of activities at...
We live in a world made up of different objects, people, and environments interacting with each othe...
The article is an in-depth analysis of two leading approaches in the field of generative modeling: g...
In this paper, we propose a divide-and-conquer approach using two generative adversarial networks (G...
This book will explore deep learning and generative models, and their applications in artificial int...
As Artificial Intelligence (AI) continues to advance and find applications in various industries, an...
Generative AIs are models that, having been trained on large datasets of images, can create original...
Part 1: MAKE-Main TrackInternational audienceIn this paper, we propose and implement a system based ...