Re:Watermark segmentation
by not-chatgpt on Monday April 14, 2025 @04:55PM
(#43686218)
What would be the state of the art?
Re:Watermark segmentation
by constantcrying on Tuesday April 15, 2025 @03:18AM
(#43689902)
State of the art is obviously a deep neural network trained for image generation/inpainting. Their inpainting mostly looks like a gradient smeared over the image. Current models can even create fine details and their problem, if anything, is being too detailed.
Yeah their approach of using two different models to detect and then inpaint is very subliminal given that many watermarks are semi-transparent. They could have just trained a UNet with adversarial loss + LPIPS to do all the work and it would have worked much better already.
- Incorrectly identifies areas for inpainting. You can see this with the figure, a lot of detail, not obscured by the watermark, is erased and then redrawn. This leads to a totally distorted look. The belt just disappears into nothing, the cloth just becomes a gradient, where a crisp line used to be.
- Low quality inpainting. Even the inpainting is done terribly. This looks like something done with some very simple diffusion based inpainting. Absolutely not state of the art.