This repository is a curated list of resources at the intersection of Artificial Intelligence and Art, primarily focusing on tools, tutorials, and foundational papers. It serves as a comprehensive guide for artists, researchers, and developers exploring AI-driven creative practices, offering a structured overview of courses, models, datasets, and influential figures in the field.

How It Works

The repository categorizes resources to provide a clear learning path and reference. It covers key AI art domains like diffusion models (including Stable Diffusion), Neural Radiance Fields (NeRFs), 3D generation, and GANs. The content is organized from foundational learning materials to specific tools and papers, with bolded entries highlighting the curator's top recommendations for each subsection.

Quick Start & Requirements

This is a curated list, not a runnable project. No installation or execution commands are provided. The resources listed within cover a wide range of AI/ML topics, many of which may require specific hardware (e.g., GPUs for deep learning models), software environments (e.g., Python, CUDA), and datasets.

Highlighted Details

• Extensive coverage of diffusion models, including foundational papers like "High-Resolution Image Synthesis with Latent Diffusion Models" (Stable Diffusion) and practical tools like Stable Diffusion Web UI.
• Detailed sections on Neural Radiance Fields (NeRFs), tracing the evolution from the original NeRF paper to faster training methods and applications like NeRF-SLAM.
• A broad collection of datasets, including large-scale image-text pairs (LAION) and open-access image collections, crucial for training and evaluating AI art models.
• Lists influential artists, institutions, and related curated lists, providing context and further avenues for exploration.

Maintenance & Community

The repository is maintained by jonathandinu. Contributions are welcome, with a request to read the contribution guidelines first. Links to related curated lists and general AI/ML resources are provided for broader context.

Licensing & Compatibility

The repository itself is a list of links and does not have a specific license. The linked resources, however, vary widely in their licensing. Many AI models and datasets may have specific usage restrictions or licenses that need to be individually reviewed for commercial or closed-source compatibility.

Limitations & Caveats

As a curated list, the repository's content is dependent on the curator's selection and may not be exhaustive. The "bolded entries" represent personal favorites, which is subjective. Many linked resources are research papers or tools that require significant technical expertise and computational resources to utilize effectively.