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sorry, i have missed the address.

Hi, I have also tested LoFTR but only get this result. ![image](https://user-images.githubusercontent.com/12042259/199167752-78666af8-483f-4105-81d1-2c2e20a66d57.png) This is my setting: ![image](https://user-images.githubusercontent.com/12042259/199167810-a116f402-8e97-474e-b4b7-a2fa0dff34c0.png) Maybe I need to use the indoor weights?

Thanks for your reply. I have tested HPatches with the AUC of 3px:64.58, 5px:74.77, 10px:84.32. Besides, I read the LoFTR paper and find that they used LoFTR-OT, while I used...

Hi, I have tried another setting: confidence threshold=0.2, and achieve ![image](https://user-images.githubusercontent.com/12042259/199442925-15489353-216c-4a15-8e20-e23ac3ca728d.png) This result is better than the previous one with a 0.5 threshold: ![image](https://user-images.githubusercontent.com/12042259/199443119-0ec4fa4f-4fc9-4c64-97ad-da9dea5bb231.png) Any comments?

I remember that I removed the code "try...except..." for the debugging. Would it have any influence on the final results?

Anyhow, thanks for your response. I will try LoFTR-OT and response the results here.

How to get the upsacle model? This address is not useable now. https://huggingface.co/stabilityai/stable-diffusion-2-depth/resolve/main/x4-upscaler-ema.ckpt

> > How to get the upsacle model? > > This address is not useable now. > > Presumably you want this repo? > > * https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler/tree/main > > With...

Why the predicted depth is not processed with 'log' (but gt depth is log) before the gradient loss?