3 accepted papers
Addressing the limitations of text as a source of accurate layout representation in text-conditional diffusion models, many works incorporate additional signals to condition certain attributes within a generated image. Although successful, previous works do not account for the specific localization…
Text-guided diffusion models have become a popular tool in image synthesis, known for producing high-quality and diverse images. However, their application to editing real images often encounters hurdles primarily due to the text condition deteriorating the reconstruction quality and subsequently af…
While GAN-based models have been successful in image stylization tasks they often struggle with structure preservation while stylizing a wide range of input images. Recently diffusion models have been adopted for image stylization but still lack the capability to maintain the original quality of inp…