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ES-CycleGAN: An Improved CycleGAN for VI-to-IR Translation
2021 40th Chinese Control Conference (CCC), 2021Infrared image has been used in many fields due to its strong environmental adaptability. But it has little data volume because of its prohibitive cost. In order to compensate for the deficiency of the infrared image dataset, CycleGAN is improved to be named ES-CycleGAN, which is used for translation of VI (visible images) to IR (infrared images ...
Tong Su, Feng Pan, Jingying Cao
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CycleGAN-STF: Spatiotemporal Fusion via CycleGAN-Based Image Generation
IEEE Transactions on Geoscience and Remote Sensing, 2021Due to the trade-off of temporal resolution and spatial resolution, spatiotemporal image-fusion uses existing high-spatial-low-temporal (HSLT) and high-temporal-low-spatial (HTLS) images as prior knowledge to reconstruct high-temporal-high-spatial (HTHS) images.
Jia Chen 0025 +5 more
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CycleGAN-VC-GP: Improved CycleGAN-Based Non-Parallel Voice Conversion
2020 IEEE 20th International Conference on Communication Technology (ICCT), 2020Non-parallel voice conversion is an important but challenging task due to the lack of parallel data. Recently, Cycle-Consistent Generative Adversarial Networks based voice conversion (CycleGAN-VC) has achieved great success in non-parallel voice conversion.
Chao Wang, Yibiao Yu
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Restoration of Motion-Corrupted EEG Signals Using Attention-Guided Operational CycleGAN
Engineering Applications of Artificial IntelligenceElectroencephalogram (EEG) signals suffer substantially from motion artifacts even in ambulatory settings. Signal processing techniques for removing motion artifacts from EEG signals have limitations, and the potential of classical or deep machine ...
Anas M Tahir +2 more
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CycleGAN -based Cloud2painting Translation
2021 IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE), 2021Image2image translation is one of the most popular image processing tasks. In this work, we use the powerful CycleGAN model and some traditional image processing technology to transform images of cloud into sketch portraits of specific objects. Precisely, this work extract the outer contour of the cloud and use the trained CycleGAN model to transform ...
Jingshuo Liu +3 more
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CycleGAN Based on Relative Loss Functions
2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2019At the upsurge of deep learning, leap-forward achievements have been made in the field of computer vision, among which the application of CycleGAN to style transfer is eye-catching. The CycleGAN theory argues that concentration on making fake data closer to the real value alone is unfavorable to the stability of the network output.
Huibai Wang, Liyuan Yu
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Image Haze Removal By Adaptive CycleGAN
2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019We introduce our machine-learning method to remove the fog and haze in image. Our model is based on CycleGAN, an ingenious image-to-image translation model, which can be applied to de-hazing task. The datasets that we used for training and testing are creatd according to the atmospheric scattering model.
Yi-Fan Chen +2 more
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UW-CycleGAN: Model-Driven CycleGAN for Underwater Image Restoration
IEEE Transactions on Geoscience and Remote Sensing, 2023Haorui Yan +6 more
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A CycleGAN Watermarking Method for Ownership Verification
IEEE Transactions on Dependable and Secure ComputingDue to the widespread use and proliferation of Deep Neural Networks (DNNs), safeguarding their Intellectual Property Rights (IPR) has become increasingly important. This paper proposes a method for watermarking a cyclic Generative Adversarial Network (GAN), specifically CycleGAN, to address the gap between the watermarking of conventional GAN models ...
Dongdong Lin +3 more
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TC-CycleGAN: Improved CycleGAN with Texture Constraints for Virtual Staining of Pathological Images
Proceedings of the 2023 3rd International Conference on Bioinformatics and Intelligent Computing, 2023Shengbo Huang +5 more
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