-
Hello, I would like to ask about the calculation of loss. The code:
> `for pred in preds: l_pix += self.cri_pix(pred, self.gt) `
is used to calculate the pixel loss between each pair of images. …
-
I found these options to be very useful for my creative applications when restoring old photos.
- The ability to do Image to Image.
- An option for upscaling x2, x4, auto or not.
- A face restore…
-
I'm using 1.4 with amazing results but where it crops the faces it cuts off half of the hair and there's a plainly visible line where sharp turns to blurry, can i make it expand the face crop to inclu…
-
Open 2 terminal emulators. In both `cd tmp`.
In the first one run `kak -s tmp foo` and stop the job with ``.
In the second one run `kak -c tmp`
Result - the client session is also sopped.
![image]…
m-kru updated
3 years ago
-
### Dear community members,
First of all, I would like to express my sincere gratitude to everyone who uses and supports SUPIR. Your feedback is a key driver for our improvement and development. In…
-
**What API design would you like to have changed or added to the library? Why?**
I want to add param "strict" in from_pretrained.
I want to add zerosft controlnet, but it can only implement by addin…
-
Would be cool to see photo progress of the restoration and the wiki could be a good interim place for displaying the images.
Congrats on getting the car and taking on the build! I'm super jealous.
-
-
Hello, interesting work!
Or use JPEG for noisy images and then use Denoising Diffusion to restore[2]?
[1] Nie W, Guo B, Huang Y, et al. Diffusion models for adversarial purification. ICML 2022.
[…
-
Hi, thank you very much for your work. I noticed that ART and CAT(Cross Aggregation Transformer for Image Restoration) were both the work of your group. Due to the similar publication time, Have you m…