Results 41 to 50 of about 97,810,316 (272)
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 CVPR 2022 accepted ...
Yanwu Xu 0003 +5 more
openaire +3 more sources
MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation
CoRR, 2021 While attention-based transformer networks achieve unparalleled success in nearly all language tasks, the large number of tokens (pixels) found in images coupled with the quadratic activation memory usage makes them prohibitive for problems in computer vision.
George Cazenavette +1 more
openaire +3 more sources
PLoS ONE, 2023 Unsupervised image-to-image translation (UI2I) tasks aim to find a mapping between the source and the target domains from unpaired training data. Previous methods can not effectively capture the differences between the source and the target domain on ...
Long Feng +5 more
doaj +1 more source
Bias correcting climate model simulations using unpaired image-to-image translation networks [PDF]
, 2023 We assess the suitability of unpaired image-to-image translation networks for bias correcting data simulated by global atmospheric circulation models. We use the Unsupervised Image-to-Image Translation (UNIT) neural network architecture to map between ...
Hegerl, Gabi +2 more
core +1 more source
Unsupervised Image Translation Using Multi-Scale Residual GAN
Mathematics, 2022 Image translation is a classic problem of image processing and computer vision for transforming an image from one domain to another by learning the mapping between an input image and an output image.
Yifei Zhang +3 more
doaj +1 more source
IEEE Access, 2022 For an unpaired image-to-image translation to work effectively, the latent space of each image domain must be well-designed. The codes of each style must be translated toward the target while preserving the parts corresponding to the source content.
Giwoong Han, Jinhong Min, Sung Won Han
doaj +1 more source
IET Image Processing, 2023 One of the most challenging topics in artificial intelligence is image‐to‐image translation, the purpose of which is generating images close to those in the target domain while preserving the important features of the images in the source domain. In this
Farzane Maghsoudi Ghombavani +2 more
doaj +1 more source
DehazeGAN: Underwater Haze Image Restoration using Unpaired Image-to-image Translation
, 2019 In this paper, we propose a Generative Adversarial Networks (GAN)-based image restoration method. Our method adopts an unpaired image-to-image translation network to learn the characteristics of underwater haze images.
Malav, Ramavtar +3 more
core +1 more source
BlobCUT: A Contrastive Learning Method to Support Small Blob Detection in Medical Imaging
Bioengineering, 2023 Medical imaging-based biomarkers derived from small objects (e.g., cell nuclei) play a crucial role in medical applications. However, detecting and segmenting small objects (a.k.a. blobs) remains a challenging task.
Teng Li +5 more
doaj +1 more source
Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images [PDF]
, 2021 Interactive simulation of ultrasound imaging greatly facilitates sonography training. Although ray-tracing based methods have shown promising results, obtaining realistic images requires substantial modeling effort and manual parameter tuning.
Tomar, Devavrat, +7 more
core +2 more sources