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ProtoGAN: Towards high diversity and fidelity image synthesis under limited data.

, , , and . Inf. Sci., (2023)

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WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation., , , and . ECCV (15), volume 13675 of Lecture Notes in Computer Science, page 1-17. Springer, (2022)Adaptive federated few-shot feature learning with prototype rectification., , , , , and . Eng. Appl. Artif. Intell., 126 (Part D): 107125 (November 2023)Semantic-Aware Generator and Low-level Feature Augmentation for Few-shot Image Generation., , , , and . ACM Multimedia, page 5079-5088. ACM, (2023)Attention Calibration for Disentangled Text-to-Image Personalization., , , and . CVPR, page 4764-4774. IEEE, (2024)Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation., , , , and . ACM Multimedia, page 7837-7848. ACM, (2023)EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models., , , , , and . CoRR, (2024)An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation., , , , , , , and . CoRR, (2024)Gravitation balanced multiple kernel learning for imbalanced classification., , , , , and . Neural Comput. Appl., 34 (16): 13807-13823 (2022)ProtoGAN: Towards high diversity and fidelity image synthesis under limited data., , , and . Inf. Sci., (2023)FreGAN: Exploiting Frequency Components for Training GANs under Limited Data., , , and . NeurIPS, (2022)