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https://github.com/Janspiry/Image-Super-Resolution-via-Iterative-Refinement/blob/ef9b943b573328d7a5ddb1a0c2abd168b91610dc/infer.py#L12
Thanks for the shared project, but some problems happens to me w…
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### Is your feature request related to a problem?
To enable chipping/batching datasets with different spatial resolutions, each dataset (either an `xarray.DataArray` or `xarray.Dataset`) currently …
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Sorry, I don’t understand very well. Why are the LR and HR images the same size? If I want to use your data to train a super-resolution network, I should enter a small LR and a large HR. How can I get…
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Thanks for your a lot contribution and hard work.
Why is the loss of Diffusion model calculated between “RANDOM noise” and “model predicted noise”?
Not between “Actual added noise” and “model predi…
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### The bug
Ever since I've started using Immich, I noticed that thumbnails feel quite slow to load to a usable resolution. Setting the option to always load remote thumbnails works around this issue…
Atemu updated
1 month ago
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Hi,
First of all, thank you very much for the model, it works unexpectedly well even without any training in my case.
I am writing a master thesis on text image super resolution so I tried to …
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Anyone know how to to finetune ControlNet on image-to-image tasks, without considering the text prompt at all during the training process? I.e. for image restoration tasks like super resolution/denois…
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Excuse me, I'd like to know that if i train EDSR by using the datesets of the Track 2, the trained model can remove some artifacts as the competition required.
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A pkg-confg (.pc) file would be nice for better integration within the open source ecosystem by way of providing an easier way to declare what CFLAGS and LDFLAGS are needed for proper compilation. Thi…
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I have used your script and converted gfpgan pth model into onnx model but I am getting horrible results. Like output image is same as input image (in terms of dimensions/size) and the output gets wor…