Abstract: In typical image inpainting tasks, the locations and shapes of damaged or masked areas are often random and irregular. Vanilla convolutions, commonly employed in learning-based inpainting ...

Add a description, image, and links to the line-integral-convolution topic page so that developers can more easily learn about it.

Abstract: Pixel-level adaptive convolution, which overcomes the deficiency of the spatial-invariance of standard convolution, is always limited to performing feature extraction from local patches and ...

Imagine if you could hide a secret message within a photo, and no one could tell by just looking at it. This is the magic of steganography—a powerful technique that allows us to embed secret ...

For this website, I constantly need to upscale the images I have. But going to other websites and upscaling my images raises a question about that data’s privacy.

The company will allow users of its Gemini chatbot to create images of people with artificial intelligence after disabling the feature six months ago. By Nico Grant Reporting from San Francisco In ...

The projects are a part of the course CSE-573 : Computer Vision and Image Processing, that I had taken up for Fall 2019 at the University at Buffalo.

ABSTRACT: In recent years, deep learning has been widely used in the field of image understanding and made breakthroughs research progress in image understanding. Because remote sensing application ...