Design space exploration (DSE) for Text-to-Image (TTI) models entails navigating a vast,
opaque space of possible image outputs, through a commensurately vast input space of …

In the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is
often hampered by the limitations of existing digital tools, which demand extensive expertise …

With recent advances in image and video diffusion models for content creation a plethora of
techniques have been proposed for customizing their generated content. In particular …

This paper elucidates an approach that utilizes generative artificial intelligence (AI) to
develop alternative architectural design options based on local identity. The advancement of …

We present AnimateDiff-Lightning for lightning-fast video generation. Our model uses
progressive adversarial diffusion distillation to achieve new state-of-the-art in few-step video …

Visually oriented designers often struggle to create effective generative AI (GenAI) prompts.
A preliminary study identified specific issues in composing and fine-tuning prompts, as well …

Recent advances in generative artificial intelligence have revolutionized information
retrieval and content generation, opening up new opportunities for the e-commerce industry …

For visual content generation, discrepancies between user intentions and the generated
content have been a longstanding problem. This discrepancy arises from two main factors …

We propose a new large synthetic hand pose estimation dataset, Hi5, and a novel
inexpensive method for collecting high-quality synthetic data that requires no human …

We introduce InVi, an approach for inserting or replacing objects within videos (referred to
as inpainting) using off-the-shelf, text-to-image latent diffusion models. InVi targets controlled …