Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu
2023年份
537顶会引用
摘要
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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引用它的顶会 Paper537
- AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific TuningYuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang 等ICLR 2024 · 被引用 1,493 次
- BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and EditingDongxu Li, Junnan Li, Steven C. H. HoiNeurIPS 2023 · 被引用 587 次
- Erasing Concepts from Diffusion ModelsRohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David BauICCV 2023 · 被引用 536 次
- ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image GenerationYuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai 等ICCV 2023 · 被引用 469 次
- Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion ModelsHila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf 等SIGGRAPH 2023 · 被引用 438 次
它引用的顶会 Paper37
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh 等ICML 2021 · 被引用 47,906 次
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 被引用 35,902 次
- Diffusion Models Beat GANs on Image SynthesisPrafulla Dhariwal, Alexander Quinn NicholNeurIPS 2021 · 被引用 13,211 次
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
- Denoising Diffusion Implicit ModelsJiaming Song, Chenlin Meng, Stefano ErmonICLR 2021 · 被引用 11,743 次
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