Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
Abstract
A moongate in the snowy ice A squirrel in front of moongate A V* dog in a swimming pool A V* dog wearing sunglasses A V* dog oil painting, Ghibli inspired Watercolor painting of moongate in a forest A photo of a V* dog A photo of a moongate User input images Single-concept generation µ This CVPR paper is the Open Access version, provided by the Computer Vision Foundation. Except for this watermark, it is identical to the accepted version; the final published version of the proceedings is available on IEEE Xplore.
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- Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion ModelsHila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf et al.SIGGRAPH 2023 · 438 citations
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- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh et al.ICML 2021 · 47,906 citations
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- Denoising Diffusion Implicit ModelsJiaming Song, Chenlin Meng, Stefano ErmonICLR 2021 · 11,743 citations
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