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View all- Xiao TCai YGuan JWang Z(2025)Semantic Mask Reconstruction and Category Semantic Learning for few-shot image generationNeural Networks10.1016/j.neunet.2024.106946183(106946)Online publication date: Mar-2025
Generating high-quality images from few-shot image is always a challenging task. FastGAN achieves great success in few-shot image generation task by using a lightweight network structure with incorporating a self-supervised discriminator and skip-...
Few-shot image generation aims at generating novel images for the unseen category when given K images from the same category. Despite significant advancements in existing few-shot image generation methods, great challenges remain regarding the ...
Generative Adversarial Networks (GANs) can synthesize high-quality images by estimating the latent distribution of adversarial learning samples. However, GAN-based methods often suffer from severe overfitting when confronted with limited training ...
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