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Found 5 papers, 3 papers with code
Supervised Deep Learning for Content-Aware Image Retargeting with Fourier Convolutions
In our approach, a mask is generated to show the desired size and location of the object.
SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions
None of the powerful existing models can fill out the missing parts of an image while considering the symmetry and homogeneity of the picture.
Focal-UNet: UNet-like Focal Modulation for Medical Image Segmentation
Recently, many attempts have been made to construct a transformer base U-shaped architecture, and new methods have been proposed that outperformed CNN-based rivals.
Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training Data
Helping the cGAN learn the target distribution from noise input results in a better model generalization during the test time and allows the model to fit almost perfectly to the target domain distribution.
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network
In this work, we propose a method called MSGDD-cGAN, which first stabilizes the performance of the cGANs using multi-connections gradients flow.
Conditional Image Generation
Generative Adversarial Network
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