ChenDarYen / Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization

An Pytorch implementation of the paper Key-Locked Rank One Editing for Text-to-Image Personalization
MIT License
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Questions about the reason for applying EMA to the target input i* #10

Open SLU010 opened 1 year ago

SLU010 commented 1 year ago

Firstly, I would like to extend my congratulations on your acceptance into SIGGRAPH. I find your work quite interesting and appreciate your contribution to the field.

And I got a question in Section 4.4 in your paper, I am curious to know the rationale behind using the Exponential Moving Average (EMA) for the target input (i.e., $i* = 0.99i + 0.01 e\text{concept}$), instead of directly using $i = e\text{concept}$. In EMA, the $e\text{concept}$ just accounts for such a small part. I am keen to understand the intuition underlying the application of EMA in this context.

Thank you for your time and consideration. I look forward to hearing back from you.