Abstract: Generative adversarial networks (GANs) are a set of powerful generative models, among which CycleGAN, featuring the unique cycle-consistency loss, has gained special popularity. However, ...
I have been studying the MIPHEI-ViT model and noticed that in the paper it is mentioned that CycleGAN was used to translate ORION H&E images to IMMUcan style patches for data augmentation during ...
Abstract: Real-world images often suffer from both over- and under-exposure, leading to color distortions and loss of detail. While existing methods address these issues separately, they struggle with ...
Telling a story requires various emotional ups and downs as well as pauses. Preparing a parallel corpus for emotional voice conversion is often costly and impractical. Developing high-quality ...
ABSTRACT: Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, ...
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