15 datasets found

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for lifelong learning of generative networks.

Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen.

The dataset used for text-to-image diffusion models, including Bluefire, Paintings, 3D, and Origami styles.

The proposed approach uses a single deep network of YOLOv8 for both segmentation and style transfer.

A benchmark dataset for few-shot image-to-image translation

Birds dataset consists of 28752 images of birds, each described by a Fisher vector representation.

A benchmark dataset for few-shot image-to-image translation

A benchmark dataset for few-shot image-to-image translation

Few-shot unsupervised image-to-image translation with a content conditioned style encoder

Arbitrary Style Transfer (AST) aims to transform images by adopting the style from any selected artwork. Nonethe-less, the need to accommodate diverse and subjective user...

StyleBooth: Image Style Editing with Multimodal Instruction

Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization.

StyleAligned is a method for generating style-consistent images using a reference style image.

The dataset is a large-scale synthesized dataset of real and stylized face pairs.

A style-based generator architecture for generative adversarial networks.