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Feb 29, 2024 · Few-shot generative model adaptation aims to obtain an excellent model that generates high-quality and high-diversity images with a few ...
Abstract—Few-shot generative model adaptation aims to obtain an excellent model that generates high-quality and high-diversity images with a few training ...
Feb 29, 2024 · Few-shot generative model adaptation aims to obtain an excellent model that generates high-quality and high-diversity images with a few ...
Jul 12, 2024 · Few-shot generative model adaptation aims to obtain an excellent model that generates high-quality and high-diversity images with a few ...
Given cloze- style prompts, it induces pre-trained language models to generate the corresponding answers. However, manually designed prompts may be sub-optimal ...
Patricia886/SGP: Few-shot Generative Model Adaptation via ... - GitHub
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Few-shot Generative Model Adaptation via Style-Guided Prompt - Patricia886/SGP.
Co-authors ; Few-shot Generative Model Adaptation via Style-Guided Prompt. S Pan, Z Zhang, K Wei, X Yang, C Deng. IEEE Transactions on Multimedia, 2024. 2024.
Apr 6, 2023 · We propose an Image-specific Prompt Learning (IPL) method, which learns specific prompt vectors for each source-domain image.
Dec 5, 2024 · In this setting, the model is trained only on data from the source domain and then adapted to make predictions on unseen target data. ... ...
Few-Shot Generative Model Adaption via Optimal Kernel Modulation [PDF] ... Few-shot Generative Model Adaptation via Style-Guided Prompt [PDF]. S. Pan, Z ...