Results 41 to 50 of about 98,087,126 (282)
IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The performance of machine learning and deep learning algorithms for image analysis depends significantly on the quantity and quality of the training data. The generation of annotated training data is often costly, time-consuming and laborious.
M. S. Mueller +4 more
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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
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Quality-Aware Unpaired Image-to-Image Translation [PDF]
IEEE Transactions on Multimedia, 2019 Generative Adversarial Networks (GANs) have been widely used for the image-to-image translation task. While these models rely heavily on the labeled image pairs, recently some GAN variants have been proposed to tackle the unpaired image translation task.
Lei Chen 0051 +3 more
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Applications and Limits of Image-to-Image Translation Models
2023 24th International Conference on Digital Signal Processing (DSP), 2023 Image-to-image (I2I) translation models are widely employed in several fields, e.g., computer vision, security or medicine. Their goal is to map images from a source domain to a target domain while preserving content information. Despite their success, these models suffer from multiple weaknesses. For example, many practical scenarios do not consent to
Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri +4 more
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Toward Multimodal Image-to-Image Translation
CoRR, 2017 NIPS 2017 Final paper. v4 updated acknowledgment. Website: https://junyanz.github.io/BicycleGAN/
Jun-Yan Zhu +6 more
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Image-to-Image Translation with Text Guidance
CoRR, 2020 The goal of this paper is to embed controllable factors, i.e., natural language descriptions, into image-to-image translation with generative adversarial networks, which allows text descriptions to determine the visual attributes of synthetic images.
Bowen Li 0001 +3 more
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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 0016 +5 more
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Invertible Autoencoder for Domain Adaptation
Computation, 2019 The unsupervised image-to-image translation aims at finding a mapping between the source ( A ) and target ( B ) image domains, where in many applications aligned image pairs are not available at training.
Yunfei Teng, Anna Choromanska
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Rethinking the Truly Unsupervised Image-to-Image Translation [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Accepted to ICCV ...
Kyungjune Baek +4 more
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Generative Image-to-Image Translation with Applications in Computational Pathology
, 2023 Generative Image-to-Image Translation (I2IT) involves transforming an input image from one domain to another. Typically, this transformation retains the content in the input image while adjusting the domain-dependent style elements. Generative I2IT finds
Fangda Li (17272816)
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