62 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.

The zebra-horse translation dataset is used to demonstrate the effectiveness of the proposed ReLGAN architecture.

The dataset used in the paper is not explicitly described. However, it is mentioned that the authors reformulated Isola's model within a brand-new geometrical framework and...

RF PIX2PIX Unsupervised Wi-Fi to Video Translation

STEREOFOG dataset is a real-world dataset of paired foggy-clear images, captured using a custom-built device, with the purpose of exploring Image-to-Image translation (I2I) in...

The paper proposes the Variational Bi-domain Triplet Autoencoder (VBTA) that learns a joint distribution of objects from different domains with the help of the learning triplets...

This study successfully demonstrated the feasibility of translating standard sagittal spine MRI into the CT domain, enabling subsequent CT-based image processing.

A dataset of paired style and content images used for customizing a pre-trained text-to-image model with a single image pair.

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

The zebra2horse dataset is a widely used benchmark dataset for image-to-image translation tasks in the field of computer vision.

A dataset used for fine-grained appearance transfer, consisting of 400 pairs of high-quality source and target images, and 100 real-world images with related source and target...

The dataset used in the paper is horse2zebra, summer2winter, and edges2shoes, which are used for image-to-image translation tasks.

The dataset used in the paper is CycleGAN and Pix2Pix, which are used for image-to-image translation tasks.

Pix2pixGAN is a generative adversarial network for image-to-image translation.

Image fusion aims to combine information from different source images to create a comprehensively representative image. Existing fusion methods are typically helpless in dealing...

Unpaired image-to-image translation has broad applications in art, design, and scientific simulations. One early breakthrough was CycleGAN that emphasizes one-to-one mappings...