Guide What neural networks exist for photo processing?

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Modern technology has transformed photography from a way to capture a moment into a creative tool. Neural networks capable of analyzing and transforming images have become indispensable assistants for both professionals and amateurs. They don't just improve the quality of images — they rethink the very essence of processing, making complex tasks available in a couple of clicks.

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PicsArt​

Pixart has long been known as a mobile editor, but with the introduction of neural networks, it has become a powerful tool for automatic processing. For example, the Smart Retouch function analyzes the skin in a portrait, removes defects while preserving its natural texture, and AI Stylization turns an ordinary photograph into a painting in the style of Van Gogh or Japanese prints. At the same time, the user does not need to understand layers or filters — the neural network offers ready-made options, adapting to his taste. This makes the professional level of processing accessible even to those who were previously afraid to open the editor.

Watermarkremover​

Watermarks often spoil the aesthetics of photos, and manually removing them requires patience. Watermarkremover solves the problem in seconds: the neural network completes the sections of the image under the watermark using patterns from the surrounding areas. The algorithm works as if it "knows" what should be under the label, be it the texture of the tree or the gradient of the sky. It's not just deleting, it's restoring the integrity of the frame, which is important for photographers working with archived images or other people's materials.

Remini​

Remini has become a lifesaver for those who want to bring old or damaged images back to life. The neural network analyzes blurred pixels, restores facial details, removes scratches, and even "thinks out" missing elements, such as a hairstyle or a pattern on clothes. It's like magic: a photo of a grandmother from the 60s, which has been in an album for decades, suddenly becomes clear and bright, as if it were taken yesterday. Remini shows how artificial intelligence can be not only a tool, but also a bridge between generations.

Clipdrop​

The clipdrop blurs the line between physical and digital. With this application, you can take a picture of an object in the real world — for example, a vase on a table — and transfer it to a graphic editor, instantly removing the background. The neural network accurately defines the boundaries, even if the object is complex in shape, and preserves shadows, making the insertion into the layout natural. For designers, it saves hours of work, and for bloggers, it allows you to quickly create content without studio equipment.

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Conclusion​

In this article, I described which neural networks for photo editing exist, what advantages they have, and what functions they have. If you use any other editor, share your findings in the comments!