Hypernetworks, or hypernets for short, are neural networks that generate weights for another
neural network, known as the target network. They have emerged as a powerful deep …

We present ControlNet, a neural network architecture to add spatial conditioning controls to
large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large …

AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and
other media using AI algorithms. Due to its wide range of applications and the demonstrated …

We propose a method for editing images from human instructions: given an input image and
a written instruction that tells the model what to do, our model follows these instructions to …

Abstract Language-guided image editing has achieved great success recently. In this paper,
we investigate exemplar-guided image editing for more precise control. We achieve this …

Text-conditioned image editing has recently attracted considerable interest. However, most
methods are currently limited to one of the following: specific editing types (eg, object …

Personalization has emerged as a prominent aspect within the field of generative AI
enabling the synthesis of individuals in diverse contexts and styles while retaining high …

Recent large-scale text-driven synthesis models have attracted much attention thanks to
their remarkable capabilities of generating highly diverse images that follow given text …

Text-to-image personalization aims to teach a pre-trained diffusion model to reason about
novel, user provided concepts, embedding them into new scenes guided by natural …

Despite the ability of existing large-scale text-to-image (T2I) models to generate high-quality
images from detailed textual descriptions, they often lack the ability to precisely edit the …