Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic
content across different formats like images, videos, and text. In Generative AI, human …

Text-to-image AI are capable of generating novel images for inspiration, but their
applications for 3D design workflows and how designers can build 3D models using AI …

While diffusion-based text-to-image (T2I) models provide a simple and powerful way to
generate images, guiding this generation remains a challenge. For concepts that are difficult …

Generative AI (GenAI) systems offer unprecedented opportunities for transforming
professional and personal work, yet present challenges around prompting, evaluating and …

Crafting a rich and unique environment is crucial for fictional world-building, but can be
difficult to achieve since illustrating a world from scratch requires time and significant skill …

Generative Adversarial Network (GAN) is widely adopted in numerous application areas,
such as data preprocessing, image editing, and creativity support. However, GAN's 'black …

We characterize and demonstrate how the principles of direct manipulation can improve
interaction with large language models. This includes: continuous representation of …

Generative adversarial networks (GANs) have many application areas including image
editing, domain translation, missing data imputation, and support for creative work. However …

Through iterative, cross-disciplinary discussions, we define and propose next-steps for
Human-centered Generative AI (HGAI) from a technical perspective. We contribute a …

When interacting with artificial intelligence (AI) in the medical domain, users frequently face
automated information processing, which can remain opaque to them. For example, users …