Adobe Lightroom Gets AI-Powered Generative Remove Tool, One-Click Lens Blur Feature

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Adobe Lightroom is getting another artificial intelligence (AI) feature called Generative Removal. The new feature can remove any unwanted objects from an image with a single click, making photo editing easier for both professional and novice users. Additionally, the company is also introducing a Lens Blur feature, which, as the name suggests, adds an aesthetic lens blur to images. Both features will be available to users of the Lightroom web client, mobile apps, and desktop apps.

In making the announcement Tuesday via a press release, Adobe emphasized that these features are being introduced as intuitive and easy tools for both amateur and professional photographers. Calling Generative Remove its most powerful removal tool yet, Adobe said it can “non-destructively remove unwanted objects from any photo with a single click by intelligently matching the removed area.” The company also shared a video demonstrating the tool.

Based on its description and video, the feature appears to be similar to Canva and Google Pixel's Magic Eraser and Samsung's Object Eraser tool inside the Galaxy AI. However, the accuracy in regenerating the background after removing the object will determine how well it compares to rivals. The feature is currently available to eligible users in early access. While it's available for free in beta, it may go behind a paywall once it's released. In particular, the Generative Remove tool works with Adobe's Firefly Image 1 model.

Another feature being introduced is called Lens Blur. Unlike Generative Remove, this is generally available to all users. Powered by AI, it adds an aesthetic blur effect to any photo, whether it had a blur effect or not. This is a fully digital blur and will be available in three new presets to choose from.

Notably, last month Adobe unveiled three new AI features for Photoshop powered by its latest model Firefly Image 3. First, Reference Image allows users to upload an image as a reference to generate new images. Then there is the Generate Fund function which replaces and creates funds. Finally, Generate Similar produces different variations of a previously generated image for granular control over the result.


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