Results 31 to 40 of about 97,810,316 (272)
One-to-one Mapping for Unpaired Image-to-image Translation [PDF]
2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020 Accepted by WACV ...
Zengming Shen +5 more
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Improving Generative Adversarial Networks for Patch-Based Unpaired Image-to-Image Translation
IEEE Access, 2023 Deep learning models for image segmentation achieve high-quality results, but need large amounts of training data. Training data is primarily annotated manually, which is time-consuming and often not feasible for large-scale 2D and 3D images.
Moritz Bohland +4 more
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DSI2I: Dense Style for Unpaired Image-to-Image Translation
CoRR, 2022 Unpaired exemplar-based image-to-image (UEI2I) translation aims to translate a source image to a target image domain with the style of a target image exemplar, without ground-truth input-translation pairs. Existing UEI2I methods represent style using one vector per image or rely on semantic supervision to define one style vector per object.
Baran Ozaydin +3 more
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Holographic reconstruction enhancement via unpaired image-to-image translation [PDF]
Applied Optics, 2022 Digital holographic microscopy is an imaging process that encodes the 3D information of a sample into a single 2D hologram. The holographic reconstruction that decodes the hologram is conventionally based on the diffraction formula and involves various iterative steps in order to recover the lost phase information of the hologram ...
Scherrer, Romane +5 more
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Composable Unpaired Image to Image Translation
CoRR, 2018 There has been remarkable recent work in unpaired image-to-image translation. However, they're restricted to translation on single pairs of distributions, with some exceptions. In this study, we extend one of these works to a scalable multidistribution translation mechanism.
Laura Graesser, Anant Gupta
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Harmonic Unpaired Image-to-image Translation
CoRR, 2019 The recent direction of unpaired image-to-image translation is on one hand very exciting as it alleviates the big burden in obtaining label-intensive pixel-to-pixel supervision, but it is on the other hand not fully satisfactory due to the presence of artifacts and degenerated transformations.
Rui Zhang, Tomas Pfister, Jia Li
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Unpaired Image-to-Image Translation via Latent Energy Transport [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 CVPR2021.
Yang Zhao, Changyou Chen
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Unpaired Image-to-Image Translation Using Adversarial Consistency Loss [PDF]
, 2020 Unpaired image-to-image translation is a class of vision problems whose goal is to find the mapping between different image domains using unpaired training data. Cycle-consistency loss is a widely used constraint for such problems. However, due to the strict pixel-level constraint, it cannot perform geometric changes, remove large objects, or ignore ...
Yihao Zhao, Ruihai Wu, Hao Dong 0003
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Sensors, 2023 Unsupervised image-to-image translation has received considerable attention due to the recent remarkable advancements in generative adversarial networks (GANs).
Hong-Yu Lee +3 more
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Global and Local Alignment Networks for Unpaired Image-to-Image Translation
CoRR, 2021 The goal of unpaired image-to-image translation is to produce an output image reflecting the target domain's style while keeping unrelated contents of the input source image unchanged. However, due to the lack of attention to the content change in existing methods, the semantic information from source images suffers from degradation during translation.
Guanglei Yang +7 more
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