May 25, 2023
DragGAN, which has recently become popular across the internet, does not have its official code released yet. However, it is now available for early access experience
Project Pages
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April 25, 2022
This is a reading note on:
An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
It is definitely the best paper to understand the steepest descent conjugate gradient method, which save me a lot of time, thanks god.
And it is written in 1994, pretty cool, right? 🧐
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April 21, 2022
Least square problem solve the following equation:
$$
argmin_x |Ax-y|_2^2
$$
It can be solve in closed-form by the following equation:
$$
\hat{x} = (A^TA)^{-1}A^Ty
$$
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December 25, 2020
For 2D Total variation denosing, we have the following objective, where $x$ is the clean image we want to optimize, $y$ is the origin noisy image, and $D_r $and $D_c$ are doubly block circulant matrices for two 2D convolution.
In detail, both of $x$ and $y$ are vectorized into 1D vectors, and the total variation terms are expressed as two convolutions in Matrix-vector form.
$$
\operatorname{minimize} \enspace \frac{1}{2} \|x-y\|_{2}^{2} + \lambda\|D_r x\|_{1} + \lambda\|D_c x\|_{1}
$$
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