Adobe’s ‘natural look’ camera app embraces generative AI

· Source: The Verge · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Adobe's experimental Indigo camera app, initially designed for an "SLR-like look" on iPhones with computational photography and manual controls, has received a significant update to version 1.1. This update introduces a suite of generative AI tools called "AI Playground," which does not rely on Adobe's Firefly models but instead uses Google's Nano Banana AI model. The AI Playground features four sections: Styles for applying preset AI filters, Object Editing for removing distractions similar to Google's Magic Eraser, Photo Guidance for AI-driven reshoot and editing suggestions, and Custom Edit for detailed image manipulation via prompting. Adobe is testing this free, no-sign-on suite with a small user percentage to learn about GenAI-powered editing, with a potential paid version later. The company is also working to integrate C2PA Content Credentials, noting Nano Banana already uses Google's SynthID watermark.

Key takeaway

For mobile photographers or app developers evaluating new editing capabilities, Adobe's integration of generative AI into its Indigo camera app signals a shift towards AI-augmented computational photography. You should consider how these tools, like AI-driven object removal or stylistic filters, could streamline your workflow or enhance creative output. Be mindful of the experimental nature and the eventual paid model, and always prioritize responsible use and transparency regarding AI-generated content, especially with evolving standards like C2PA.

Key insights

Adobe's Indigo app integrates generative AI, powered by Google's Nano Banana, for diverse photo editing and guidance.

Principles

Method

The Indigo app's "AI Playground" offers Styles, Object Editing, Photo Guidance, and Custom Edit sections. Each section uses engineered prompts to trigger generative AI, allowing users to re-trigger for varied results.

In practice

Topics

Best for: Computer Vision Engineer, AI Product Manager, General Interest, Tech Journalist, Creative Technologist

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Verge.