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Image inpainting based on deep learning: A review
Z Qin, Q Zeng, Y Zong, F Xu - Displays, 2021 - Elsevier
Image inpainting aims to restore the pixel features of damaged parts in incomplete image
and plays a key role in many computer vision tasks. Image inpainting technology based on …
and plays a key role in many computer vision tasks. Image inpainting technology based on …
[HTML][HTML] A survey on GANs for computer vision: Recent research, analysis and taxonomy
In the last few years, there have been several revolutions in the field of deep learning,
mainly headlined by the large impact of Generative Adversarial Networks (GANs). GANs not …
mainly headlined by the large impact of Generative Adversarial Networks (GANs). GANs not …
Deep learning for image inpainting: A survey
H ** between a source
domain X and a target domain Y from unpaired training data. Contrastive learning for …
domain X and a target domain Y from unpaired training data. Contrastive learning for …
Learning pyramid-context encoder network for high-quality image inpainting
High-quality image inpainting requires filling missing regions in a damaged image with
plausible content. Existing works either fill the regions by copying high-resolution patches or …
plausible content. Existing works either fill the regions by copying high-resolution patches or …
Making convolutional networks shift-invariant again
R Zhang - International conference on machine learning, 2019 - proceedings.mlr.press
Modern convolutional networks are not shift-invariant, as small input shifts or translations
can cause drastic changes in the output. Commonly used downsampling methods, such as …
can cause drastic changes in the output. Commonly used downsampling methods, such as …
Bci: Breast cancer immunohistochemical image generation through pyramid pix2pix
The evaluation of human epidermal growth factor receptor 2 (HER2) expression is essential
to formulate a precise treatment for breast cancer. The routine evaluation of HER2 is …
to formulate a precise treatment for breast cancer. The routine evaluation of HER2 is …
Globally and locally consistent image completion
We present a novel approach for image completion that results in images that are both
locally and globally consistent. With a fully-convolutional neural network, we can complete …
locally and globally consistent. With a fully-convolutional neural network, we can complete …
Dualgan: Unsupervised dual learning for image-to-image translation
Abstract Conditional Generative Adversarial Networks (GANs) for cross-domain image-to-
image translation have made much progress recently. Depending on the task complexity …
image translation have made much progress recently. Depending on the task complexity …