Results 21 to 30 of about 1,186,551 (242)
Panoramic Image-to-Image Translation
, 2023 In this paper, we tackle the challenging task of Panoramic Image-to-Image translation (Pano-I2I) for the first time. This task is difficult due to the geometric distortion of panoramic images and the lack of a panoramic image dataset with diverse conditions, like weather or time.
Kim, Soohyun +6 more
openaire +2 more sources
Asymmetric GAN for Unpaired Image-to-Image Translation [PDF]
IEEE Transactions on Image Processing, 2019 Unpaired image-to-image translation problem aims to model the mapping from one domain to another with unpaired training data. Current works like the well-acknowledged Cycle GAN provide a general solution for any two domains through modeling injective mappings with a symmetric structure. While in situations where two domains are asymmetric in complexity,
Yu Li +5 more
openaire +3 more sources
Semi-Supervised Image-to-Image Translation [PDF]
2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT), 2019 Image-to-image translation is a long-established and a difficult problem in computer vision. In this paper we propose an adversarial based model for image-to-image translation. The regular deep neural-network based methods perform the task of image-to-image translation by comparing gram matrices and using image segmentation which requires human ...
Oza, Manan +2 more
openaire +2 more sources
Zero-shot Image-to-Image Translation
Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings, 2023 website: https://pix2pixzero.github.io/
Gaurav Parmar +5 more
openaire +2 more sources
Vector Quantized Image-to-Image Translation
, 2022 Current image-to-image translation methods formulate the task with conditional generation models, leading to learning only the recolorization or regional changes as being constrained by the rich structural information provided by the conditional contexts.
Yu-Jie Chen +4 more
openaire +2 more sources
Implicit pairs for boosting unpaired image-to-image translation
Visual Informatics, 2020 In image-to-image translation the goal is to learn a mapping from one image domain to another. In the case of supervised approaches the mapping is learned from paired samples.
Yiftach Ginger +3 more
doaj +1 more source
GAIT: Gradient Adjusted Unsupervised Image-To-Image Translation [PDF]
2020 IEEE International Conference on Image Processing (ICIP), 2020 Accepted by ...
Akkaya, Ibrahim Batuhan, Halici, Ugur
openaire +2 more sources
Unsupervised many‐to‐many image‐to‐image translation across multiple domains
IET Image Processing, 2021 Unsupervised multi‐domain image‐to‐image translation aims to synthesize images among multiple domains without labelled data, which is more general and complicated than one‐to‐one image mapping. However, existing methods mainly focus on reducing the large
Ye Lin +3 more
doaj +1 more source
Applied Sciences, 2023 Medical image registration is a fundamental and indispensable element in medical image analysis, which can establish spatial consistency among corresponding anatomical structures across various medical images.
Aolin Yang +5 more
doaj +1 more source
Multimodal Unsupervised Image-to-Image Translation [PDF]
, 2018 Unsupervised image-to-image translation is an important and challenging problem in computer vision. Given an image in the source domain, the goal is to learn the conditional distribution of corresponding images in the target domain, without seeing any pairs of corresponding images.
Huang, Xun +3 more
openaire +2 more sources