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Does it work on arbitrary image sizes? One of the nice features of the somewhat old Deoldify colorizer is support for any resolution. It actually does better t
by buildbot 3y ago
Does it work on arbitrary image sizes?
One of the nice features of the somewhat old Deoldify colorizer is support for any resolution. It actually does better than photoshops colorization: https://blog.maxg.io/colorizing-infrared-images-with-photoshop/ https://blog.maxg.io/colorizing-infrared-images-with-photosh...
Edit - technically, I suppose, the way Deoldify works is by rendering the color at a low resolution and then applying the filter to a higher resolution using OpenCV. I think the same sub-sampling approach could work here...
- erwannmillon 3y agoTechnically yes, the encoder and unet are convolutional and support arbitrary input sizes, but the model was trained at 64x64px bc of compute limitations. You could probably resume the training from a 64x64 resolution checkpoint and train at a higher resolution. But like most diffusion models, they don't generalize very well to resolutions outside of their training dataset