New AID method improves image inpainting with diffusion models

Researchers have developed a new method called Amortized Inpainting with Diffusion (AID) for image inpainting using pretrained diffusion models. AID trains a small, reusable guidance module offline, which can then be applied to masked images without per-instance optimization. This approach offers an improved quality-speed trade-off compared to existing methods, with minimal trainable overhead. AI

影响 Offers a more efficient approach to image inpainting, potentially improving generative model applications.

排序理由 The cluster contains an academic paper detailing a new method for image inpainting using diffusion models. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

• AFHQv2
• Amortized Inpainting with Diffusion (AID)
• FFHQ
• ImageNet
• Diffusion models

• 论文
• 其他

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