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### 🚀 The feature, motivation and pitch
TVD is a good distance metric ([ref](https://aclanthology.org/2023.acl-long.605.pdf)) and easy to implement kernel to make the gradient more stable compared …
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It's a nice work!
And after reading your paper, I wonder what is the total variation regularizer which you have mentioned in Sec3.2. Could you provide some explanations about that?
![image](https://…
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The total variation (l2 version) is calculated here as `sqrt(sum(d_w**2 + d_h**2))`. Shouldn't it be `sum(sqrt(d_w**2 + d_h**2))` instead? See
https://github.com/photosynthesis-team/piq/blob/26d044e…
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In order to find the best value for K (the number of clusters), it would be nice to get the variance of the distance of clustered points to their cluster's centroid.
Inspired by https://www.youtube…
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Hey, I get these results after I've added Total Variation loss (https://discuss.pytorch.org/t/yet-another-post-on-custom-loss-functions/14552).
What can cause this problem?
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I know tensorflow support it (tf.image.total_variation). But I can't find it in mxnet's APIs. I wonder if total variation is also supported in mxnet?
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I'd like to use second-order total variation, as described in for example these couple of papers:
https://www.ipol.im/pub/art/2013/40/article.pdf
http://www.franklenzen.de/pdf/lenzen_et_al_ssvm2013.…
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Need to write and add a Total Variation filter for ndimages
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Hello,
Since the Total Variation denoising approach use gradient, is there any way to apply it to the image with anisotropic pixels in addition to resizing the image before denoising implementation? …
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Timestamp 12/08/2024
Email Address …