Neural Filters
Neural Filters are AI-powered tools integrated into Adobe Photoshop that automate image enhancement and manipulation tasks. Built on machine learning models, they enable photographers and designers to perform complex operations—such as upscaling, detail preservation, and style transfer—without requiring manual adjustment. These filters represent Photoshop’s approach to embedding artificial intelligence directly into its core workflow, allowing users to apply sophisticated computational techniques to images efficiently.
Image Upscaling and Detail Preservation
Photoshop offers two primary neural upscaling options with different computational approaches. Generative Upscale uses generative AI to enlarge images while synthesizing additional visual content, making it suitable for creative interpretations where some detail invention is acceptable. Preserve Details 2.0 takes a more conservative approach, focusing on enlarging images while maintaining fidelity to original details and minimizing artifacts. Users can select between these tools depending on whether their priority is creative enhancement or faithful reproduction of source material.
Style Transfer and Creative Applications
The Landscape Mixer neural filter applies style transfer techniques to modify images based on learned aesthetic characteristics. This tool allows users to adjust the stylistic qualities of photographs by referencing learned patterns from landscape imagery, enabling consistent visual treatments across multiple images or selective style application to portions of an image.
Neural Filters operate as part of Photoshop’s broader integration of machine learning capabilities, allowing these operations to run either locally on a user’s machine or through cloud-based processing depending on computational requirements and user preference.
Source Notes
- 2026-04-14: I Looked At Amazon After They Fired 16,000 Engineers. Their AI Broke Everything.
- 2026-04-21: Photoshop · ▶ source