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Few-shot exemplar-driven inpainting with parameter-efficient diffusion fine-tuning
Regular Papers | Updated:2025-09-04
    • Few-shot exemplar-driven inpainting with parameter-efficient diffusion fine-tuning

      Enhanced Publication
    • 基于参数高效扩散微调的少样本参考图驱动图像补全
    • “In the realm of image generation, researchers have made significant strides with text-to-image diffusion models, particularly in the area of image inpainting. A new approach, which employs a plug-and-play low-rank adaptation module and GPT-4V prompting, has been developed to enhance exemplar-driven inpainting, offering a tool for customized object inpainting with improved fidelity. This advancement lays a foundation for the construction of more personalized image inpainting systems.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 8, Pages: 1428-1440(2025)
    • DOI:10.1631/FITEE.2400395    

      CLC: TP183
    • Received:14 March 2024,

      Revised:2024-10-25,

      Published:2025-08

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  • Shiyuan YANG, Zheng GU, Wenyue HAO, et al. Few-shot exemplar-driven inpainting with parameter-efficient diffusion fine-tuning[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(8): 1428-1440. DOI: 10.1631/FITEE.2400395.

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