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Knowledge Integration and Diversion in Diffusion Models
arXiv
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由 Y Xie 著作2024被引用 3 次 — KIND first integrates knowledge by decomposing parameter matrices of models using U, \Sigma, and V matrices, formally inspired by singular value decomposition ...
Knowledge Integration and Diversion in Diffusion Models
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Results indicate that KIND achieves state-of-the-art performance compared to other PEFT and learngene methods. Specifically, the images generated by KIND ...
KIND Knowledge Integration and Diversion in Diffusion ...
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KIND Knowledge Integration and Diversion in Diffusion Models.pptx Latest commit yanglichang2849 yanglichang2849 Add files via upload 3 months ago
Fu Feng - Google 学术搜索
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Kind: Knowledge integration and diversion in diffusion models. Y Xie, F Feng ... FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models.
Research Graph posted on the topic | ...
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2024年8月21日 — KIND: Teaching Diffusion Models to Be Quick Learners As diffusion models continue to advance in image generation tasks, the challenge of ...
Yucheng Xie - Google 学术搜索
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Kind: Knowledge integration and diversion in diffusion models. Y Xie, F Feng ... FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models.
Yucheng Xie's scientific contributions
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To address this, we introduce \textbf{KIND}, which performs \textbf{K}nowledge \textbf{IN}tegration and \textbf{D}iversion in diffusion models. KIND first ...
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共同作者 ; Kind: Knowledge integration and diversion in diffusion models. Y Xie, F Feng, J Wang, X Geng, Y Rui.
fine
arXiv
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由 Y Xie 著作2024被引用 1 次 — KIND (Xie et al., 2024) explores the use of Singular Value Decompo- sition (SVD) to integrate and transfer common knowledge in diffusion models, ...
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All arxiv papers on diffusion models!
Vikash Sehwag
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2023年2月28日 — Kind: Knowledge Integration and Diversion in Diffusion Models Yucheng Xie, Fu Feng, Jing Wang, Xin Geng, Yong Rui. Unsupervised Blind Joint ...
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