Adobe Photoshop Neural Filters 2023 Better Jun 2026

Adobe has continued to enhance and expand its Neural Filters in 2023, adding new features and improving existing ones. Some of the key updates include:

Adobe Photoshop’s Neural Filters got a massive glow-up in the 2023 updates, making complex edits that used to take hours happen in seconds [1, 2]. Powered by Adobe Sensei AI adobe photoshop neural filters 2023 better

Extracts the color palette from a reference image (like a classic film frame or a painting) and applies it to your target image. Better Landscape Mixer Adobe has continued to enhance and expand its

Neural Filters excel at colorization and upscaling but still trail experts in targeted glare removal and expression changes that require anatomical consistency. Better Landscape Mixer Neural Filters excel at colorization

; going too high can lead to an "over-softened" plastic look. Scratch Reduction

The real magic happens when you combine the raw power of AI with your creative eye. A professional workflow might use to fix the damage on an old image, Colorize to add a base palette, and then Smart Portrait to subtly bring a smile to the subject's face—all in a matter of minutes. Each filter serves as a powerful assistant, handling the heavy lifting so you can focus on the fine-tuning and creative decisions that define your unique style.

The most striking advancement in 2023 lies in the maturation of —specifically, the “Harmonization” and “Depth Blur” filters. Previously, compositing a subject into a new background required painstaking manual matching of color temperature, contrast, and grain. The 2023 Harmonization filter, however, analyzes the background’s light and color profile and instantly reapplies them to the foreground subject with startling accuracy. It understands not just flat color, but the subtleties of ambient light and shadow falloff. Similarly, Depth Blur can now generate realistic bokeh that respects complex edges like hair or fur, rivaling lenses costing thousands of dollars. These are not simple sliders; they are inference engines that “see” an image’s three-dimensional space.