Abstract: Nowadays, there is a proliferation of generative AI methods accessible to the masses. Both open source and paid algorithms are capable of creating deepfake images with the likelihood of a ...

Generative AI development now involves layered stacks combining training, orchestration, multimodal generation, and evaluation for real-world deployment. Libraries like PyTorch, Transformers, and ...

Abstract: Infrared images, with their all-time imaging capability, have been widely applied in fields such as military and security. However, due to the difficulty in acquiring infrared images, ...

We developed PtosisDiffusion, a training-free workflow that combines face mesh with ControlNet for accurate post-operative predictions, and evaluated it using 39 preoperative photos from ...

Debate on how computers can transform design, and which tasks they should and should not be allowed to perform, has raged for over half a century, and the advent of an advanced new generation of ...

The integration of AI in architectural design represents a significant shift toward creating emotionally resonant spaces. This research investigates AI's ability to evoke specific emotional responses ...

AI art generators have moved from novelty to niche to even commodity in just months, with numerous services promising the ability to create generative AI art instantly using natural-language text ...