Comments (1)
In fact, our super-resolution model is trained with the goal of generating plausible results given an overall low-resolution image, and from this perspective, it performs well. For your needs, I think you can look for other methods of local super-resolution or modify the data augmentation in
e2style/configs/transforms_config.py
Line 119 in fe110b3
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Related Issues (17)
- Looking forward to the code! HOT 1
- 代码呢?两个月过去了 HOT 7
- How to provide test images for inpainting HOT 2
- UnboundLocalError: local variable 'images' referenced before assignment HOT 3
- enviroments HOT 1
- Face swapping? HOT 1
- editing directions
- GAN inversion using images with piercings HOT 1
- Editing coefficients and hyperplanes
- How do you perform the face swapping with the code?
- How to Crop out the center area of Is and paste it onto It?
- About multi-stage HOT 1
- not good inversion as seen in papers HOT 7
- stylemixing give me .html file i want jpg or png in separate file what to do ??
- still bad inversion but i dont know why HOT 9
- Glossiness of image generation
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