Results 31 to 40 of about 98,087,126 (282)
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 +4 more sources
, 2021 Optical coherence tomography (OCT) images of the posterior eye provide valuable clinical information. To quantify these images and extract appropriate biomarkers, methods to segment the different retinal boundaries are needed.
David Alonso-Caneiro +7 more
core +1 more source
Tensor-to-Image: Image-to-Image Translation with Vision Transformers
, 2021 Transformers gain huge attention since they are first introduced and have a wide range of applications. Transformers start to take over all areas of deep learning and the Vision transformers paper also proved that they can be used for computer vision ...
Yigit Gunduc (11067693)
core +1 more source
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 ...
Manan Oza +2 more
openaire +3 more sources
Powers of layers for image-to-image translation
CoRR, 2020 We propose a simple architecture to address unpaired image-to-image translation tasks: style or class transfer, denoising, deblurring, deblocking, etc. We start from an image autoencoder architecture with fixed weights. For each task we learn a residual block operating in the latent space, which is iteratively called until the target domain is reached.
Hugo Touvron +3 more
openaire +2 more sources
DUNIT: Detection-based Unsupervised Image-to-Image Translation [PDF]
, 2020 Image-to-image translation has made great strides in recent years, with current techniques being able to handle unpaired training images and to account for the multimodality of the translation problem.
Vizier, Guillaume +7 more
core +1 more source
Deliberation Learning for Image-to-Image Translation [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Image-to-image translation, which transfers an image from a source domain to a target one, has attracted much attention in both academia and industry. The major approach is to adopt an encoder-decoder based framework, where the encoder extracts features from the input image and then the decoder decodes the features and generates an image in the target ...
Tianyu He +6 more
openaire +1 more source
Camouflage generative adversarial network: Coverless full-image-to-image hiding
, 2020 Image hiding, one of the most important data hiding techniques, is widely used to enhance cybersecurity when transmitting multimedia data. In recent years, deep learning based image hiding algorithms have been designed to improve the embedding capacity ...
Ziping Ma (9850445) +7 more
core +3 more sources
Unsupervised Image-to-Image Translation Networks
CoRR, 2017 Unsupervised image-to-image translation aims at learning a joint distribution of images in different domains by using images from the marginal distributions in individual domains. Since there exists an infinite set of joint distributions that can arrive the given marginal distributions, one could infer nothing about the joint distribution from the ...
Ming-Yu Liu 0001 +2 more
openaire +3 more sources
Hybrid image representation methods for automatic image annotation: a survey [PDF]
, 2012 In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit.
Oukid, Saliha +7 more
core +2 more sources