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Found 4 papers, 3 papers with code
A Systematic Survey of Regularization and Normalization in GANs
Although a handful number of regularization and normalization methods have been proposed for GANs, to the best of our knowledge, there exists no comprehensive survey that primarily focuses on objectives and development of these methods, apart from some in-comprehensive and limited scope studies.
A New Perspective on Stabilizing GANs training: Direct Adversarial Training
Quite a number of methods have been proposed to stabilize the training of GANs, the focuses of which were respectively put on the loss functions, regularization and normalization technologies, training algorithms, and model architectures.
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation
Generative adversarial nets (GANs) have been successfully applied in many fields like image generation, inpainting, super-resolution and drug discovery, etc., by now, the inner process of GANs is far from been understood.
DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention
Automatic medical image segmentation has wide applications for disease diagnosing.
