Abstract Generative Adversarial Networks (GANs) are a type of deep learning architecture
that uses two networks namely a generator and a discriminator that, by competing against …

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 …

Text-to-image synthesis has recently seen significant progress thanks to large pretrained
language models, large-scale training data, and the introduction of scalable model families …

Recent large-scale text-guided diffusion models provide powerful image generation
capabilities. Currently, a massive effort is given to enable the modification of these images …

We introduce an Extended Textual Conditioning space in text-to-image models, referred to
as $ P+ $. This space consists of multiple textual conditions, derived from per-layer prompts …

Given an abstract, deformed, ordinary sketch from untrained amateurs like you and me, this
paper turns it into a photorealistic image-just like those shown in Fig. 1 (a), all non-cherry …

Diffusion probabilistic models have achieved remarkable success in text guided image
generation. However, generating 3D shapes is still challenging due to the lack of sufficient …

We introduce MyStyle, a personalized deep generative prior trained with a few shots of an
individual. MyStyle allows to reconstruct, enhance and edit images of a specific person, such …

Recent advancements in diffusion models have introduced fast sampling methods that can
effectively produce high-quality images in just one or a few denoising steps. Interestingly …

The rapid development of deep learning in medical imaging has significantly enhanced the
capabilities of artificial intelligence while simultaneously introducing challenges, including …